Data Science Jobs in New York City

Description

<p><strong>Position: DnA Analyst</strong></p><p><strong>Location:</strong> Hybrid-New York City</p><p><strong>Type:</strong> Full Time</p><p><br /></p><p><strong>ABOUT US: </strong></p><p>CheckedUp is a healthcare media company operating a dedicated network in doctor’s offices across the US. Our technology platform is deployed at the point of care, actively engaging patients and physicians in the waiting room, exam room and at home. As a health technology leader, CheckedUp aspires to create better educated and more confident patients and physicians who are empowered to make informed health decisions together.</p><p><br /></p><p>Our team is driven by embracing technology to help bring innovative ideas, products, and services to help enhance and advance the health and wellbeing of people. Composed of leading physicians, strategists, mobile and web engineers and designers, our team is passionate about changing healthcare for the better. We take pride in what we’re doing, and it shows in our work ethic. Because we place a high value on initiative and personal growth, we’ve succeeded within our industry, and continue to push ourselves to create better healthcare experiences.</p><p><br /></p><p>CheckedUp is building a high-impact analytics function that operates as a <strong>strategic partner to the business</strong>, not a reporting team.</p><p><br /></p><p>We are seeking an <strong>Analyst</strong> to support our growing team who can <strong>frame complex business problems, analyze large-scale healthcare data, and translate insights into clear, actionable recommendations</strong> that influence client strategy and revenue outcomes.</p><p><br /></p><p>This role is best suited for <strong>individuals who think like consultants</strong> and are energized by ambiguity, capable of structuring open-ended questions, and motivated by driving decisions, not simply reporting metrics.</p><p><br /></p><p>The position offers an unparalleled opportunity for personal and financial growth, in a supportive environment. Our analytics department is quickly becoming one of the most critical arms of the company as we are steadily growing our client network and we are looking to add a dynamic, multi-skilled member to our agile team.</p><p><br /></p><p>DUTIES AND RESPONSIBILITIES:</p><ul><li>Responsible for marketing analytics engagements for several pharmaceutical clients</li><li>Provide pre-sales analytics support to sales team</li><li>Work with Data Engineering team within the data analytics department (leveraging SQL deliverable automation and database management)</li><li>Develop analysis reports to enable campaign execution and optimization</li><li>Drive and take ownership for developing and improving current network processes</li><li>Assist in managing secondary analytics: data acquisition strategy, procurement, cleansing, integration, reporting and analysis</li></ul><p><br /></p><p>Strengths include:</p><ul><li>Advanced Analytics • Strategic Planning • Engagement Management • Research Design • Narrative Development • Team Building • Needs Assessment • Problem-Solving</li></ul><p><br /></p><p>REQUIRED QUALIFICATIONS &amp; SKILLS:</p><ul><li>2+ years in analytics, strategy, consulting, or a similarly rigorous problem-solving environment</li><li><strong>MUST HAVE</strong> Advanced <strong>SQL skills</strong> with experience working in large, relational datasets</li><li><strong>MUST HAVE</strong> experience analyzing <strong>complex data set</strong></li><li>Proven ability to independently own and deliver complex analyses</li><li>Strong Excel and quantitative skillset</li><li>Exceptional quantitative and MS Excel skills</li><li><strong>Ability to manage multiple projects, communicate, and thrive in an ambiguous environment</strong></li><li>Learning mindset and passion to keep abreast of the rapidly changing media and analytics landscape<strong>.</strong></li><li>Ability to ruthlessly prioritize and separate out the urgent &amp; essential from the day-to-day requirements from the noise</li><li>Able to present results from analysis and make recommendations that are accepted and implemented.</li></ul><p><br /></p><p>DESIRED EXPERIENCE:</p><ul><li>Experience in healthcare, pharma, media, or advertising analytics</li><li>Familiarity with Snowflake or similar cloud data environments</li><li>Exposure to statistical methods, experimentation, or causal inference approaches</li><li>Enjoys working in a high-growth environment with other highly-driven individuals.</li></ul><p><br /></p><p><strong>COMPENSATION</strong></p><p>Salary for this position is competitive and depends on prior experience. A comprehensive benefits package is included.</p><p><br /></p><p><strong>COMMITMENT TO DIVERSITY</strong></p><p>CheckedUp encourages individuals of all ethnic and racial backgrounds to apply for this position. We are committed to maximizing the diversity of our organization.</p>

Requirements

• RN
• DO
• NP
• PA
• Pharm

Description

<p><strong>Company: </strong>Aaratech Inc.</p><p><strong>Employment Type: </strong>Full-Time, W2 (deployed to client projects)</p><p><strong>Experience: </strong>2+ years</p><p><strong>Compensation: </strong>$60,000 – $70,000 per year</p><p><strong>Work Mode: </strong>On-Site / Hybrid</p><p><strong>Work Authorization</strong></p><p>At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.</p><p><strong>Why This Role?</strong></p><p>Every click, cart, and shelf tells a story — learn to read them all. Retail analytics moves fast, and analysts who can connect customer behavior to revenue get noticed quickly. Work on the funnel, pricing, and inventory questions that drive the P&amp;L.</p><p><strong>Job Summary</strong></p><p>Aaratech Inc. is seeking a Data Analyst – Retail &amp; E-Commerce to turn sales, customer, and digital data into growth. You will build merchandising and funnel reporting, analyze customer behavior and lifetime value, and deliver insights that improve conversion, margin, and retention.</p><p><strong>Key Responsibilities</strong></p><ul><li>Collect, clean, and analyze sales, customer, inventory, and web/app behavioral data using SQL and Python.</li><li>Design and maintain dashboards in Power BI or Tableau for sales performance, funnel conversion, and inventory health.</li><li>Analyze customer segmentation, churn, retention, and customer lifetime value (CLV).</li><li>Support pricing, promotion effectiveness, and demand-forecasting analysis.</li><li>Blend digital analytics data (Google Analytics 4, Adobe Analytics) with transactional and POS data.</li><li>Ensure data accuracy, consistency, and reporting quality across platforms.</li><li>Present analytical findings and recommendations to merchandising, marketing, and operations stakeholders.</li></ul><p><strong>Qualifications</strong></p><ul><li>Bachelor's degree in Data Science, Computer Science, Information Technology, Business Analytics, or a related field.</li><li>2+ years of experience as a Data Analyst in retail, e-commerce, CPG, or a related industry.</li><li>Strong, hands-on SQL skills — complex joins, window functions, CTEs, and query optimization.</li><li>Proficiency with Power BI or Tableau, plus advanced Microsoft Excel (Power Query, pivot tables, advanced formulas).</li><li>Hands-on experience analyzing sales, customer, or digital behavioral data.</li><li>Strong analytical, data-storytelling, and stakeholder-communication skills.</li></ul><p><strong>Tools &amp; Technologies You Will Use</strong></p><ul><li>Analytics &amp; querying: SQL (BigQuery, SQL Server, Snowflake), Python (pandas, NumPy).</li><li>BI &amp; visualization: Power BI (DAX, Power Query), Tableau, Looker, Excel.</li><li>Digital analytics: Google Analytics 4 (GA4), Adobe Analytics, tag management basics.</li><li>Commerce &amp; data platforms: Shopify, Salesforce Commerce Cloud, POS data, BigQuery, Databricks.</li></ul><p><strong>Preferred Skills</strong></p><ul><li>Knowledge of A/B testing, marketing attribution models, and cohort analysis.</li><li>Experience with demand forecasting or inventory/assortment analytics.</li><li>Familiarity with dbt or modern data-stack workflows.</li><li>Certifications such as Microsoft PL-300, Tableau Desktop Specialist, or Google Data Analytics Professional Certificate are a plus.</li></ul><p><strong>About Aaratech Inc.</strong></p><p>Aaratech Inc. is a technology-driven organization delivering innovative solutions across cybersecurity, data &amp; analytics, healthcare, and enterprise domains. We are committed to helping organizations transform data into actionable insights through advanced analytics, modern technologies, and data-driven innovation.</p><p><br /></p>

Requirements

• RN
• DO
• PA

Description

<p><strong>Data Analyst / Data Scientist (Utility Analytics)</strong></p><p><strong>Location:</strong> US/Remote (EST preferred)</p><p><strong>Employment Type:</strong> Contract (1–2 Years, Special Project)</p><p><strong>Pay Rate:</strong> $55.00 – $60.00/hour (Up to $75.00/hour for candidates with extensive, highly relevant utility experience)</p><p><strong>Schedule:</strong> Standard Business Hours</p><p><strong>Target Start Date:</strong> ASAP</p><p><strong>About the Role</strong></p><p>We are seeking a detail-oriented <strong>Data Analyst / Data Scientist</strong> to join our Customer Analytics and Digital Products team on a high-impact, special project. In this role, you will analyze large-scale utility datasets, evaluate customer-facing digital products (such as rate recommendation and bill comparison tools), and build interactive reporting tools to drive business decisions and improve customer experience.</p><p><strong>Key Responsibilities</strong></p><ul><li><strong>Data Analysis &amp; Quality Control:</strong> Analyze large utility datasets—including AMI usage, Customer Care &amp; Billing (CC&amp;B), and customer engagement data—to identify trends, patterns, anomalies, and quality issues.</li><li><strong>Visualization &amp; Reporting:</strong> Design and maintain Power BI dashboards, reports, and visual summaries to track product performance, billing outcomes, and key customer metrics.</li><li><strong>Digital Product Support:</strong> Support customer-facing digital products (e.g., rate recommendation tools and bill comparison features) using historical usage and billing data.</li><li><strong>Engagement Analytics:</strong> Track and analyze website and digital engagement metrics (such as page views, clicks, and user interactions).</li><li><strong>Cross-Functional Collaboration:</strong> Partner closely with Product Owners, software engineers, and business SMEs to support data integrations, user testing, and product enhancements.</li><li><strong>Stakeholder Communication:</strong> Translate complex technical findings into actionable insights and present recommendations clearly to both technical and business stakeholders.</li></ul><p><strong>Required Qualifications &amp; Skills</strong></p><ul><li><strong>Utility Industry &amp; AMI Data (MUST-HAVE):</strong> Direct experience working with Advanced Metering Infrastructure (AMI) and utility customer usage data. Note: Candidates without utility/AMI experience will not be considered.</li><li><strong>Professional Experience:</strong> 2+ years of professional data analysis experience, with a proven track record of reviewing large data extracts/dumps to identify trends and data anomalies.</li><li><strong>Technical Proficiency:</strong></li><li>Hands-on experience with <strong>Power BI</strong> for dashboard creation and data visualization.</li><li>Experience with <strong>Databricks</strong> or working with large, multi-source datasets.</li><li><strong>Education:</strong> Bachelor’s degree in Data Science, Analytics, Computer Science, Statistics, or a related field.</li><li><strong>Core Competencies:</strong> Strong data validation and problem-solving skills, extreme attention to detail, and excellent verbal and written communication skills suitable for a regulated environment.</li></ul><p><strong>Preferred / Nice-to-Have Skills</strong></p><ul><li>Experience with <strong>Customer Care &amp; Billing (CC&amp;B)</strong> data and tools.</li><li>Proficiency with <strong>Google Analytics</strong> or other web/digital engagement tracking platforms.</li><li>Proven track record developing recurring customer analytics reports and tracking digital product adoption.</li></ul><p><br /></p>

Requirements

• RN
• DO
• PA
• Billing

Description

<p><strong>Title:</strong> Compliance Data Analyst</p><p><strong>Office Status:</strong> In-Office</p><p><strong>Pay Rate: </strong>$35</p><p><strong>Contract Length:</strong> Not specified</p><p>Bilingual proficiency in <strong>Chinese and English</strong>.</p><p><br /></p><p><strong>Overview</strong></p><p>A financial services organization is seeking an entry-level professional to support <strong>AML transaction monitoring, case management, and screening technology</strong>. This role will assist with system analysis, scenario and threshold testing, UAT, validation, documentation, issue tracking, and ongoing optimization of AML technology.</p><p>The position is well suited for a detail-oriented candidate with strong coordination and communication skills who is interested in the intersection of <strong>financial crime compliance, technology, and quantitative analysis</strong>.</p><p><strong>Key Responsibilities</strong></p><ul><li>Support the analysis, development, testing, and optimization of AML transaction-monitoring scenarios and rules.</li><li>Assist with threshold analysis and periodic reviews of monitoring scenarios based on risk levels and system performance.</li><li>Support AML optimization efforts across multiple business lines, including correspondent banking, retail banking, and trade finance.</li><li>Assist with assessing model performance, data quality, risk coverage, and system integrity.</li><li>Support validation, audit, and review activities related to AML monitoring systems.</li><li>Maintain model inventories and assist with tracking required model reviews.</li><li>Coordinate User Acceptance Testing (UAT) for recommended threshold, scenario, and system changes before production implementation.</li><li>Analyze and test case-management tools to identify system issues and support resolution with technical and business teams.</li><li>Assist with system configuration updates, issue tracking, and documentation.</li><li>Support testing and validation of screening systems, including identifying issues and helping mitigate associated compliance risks.</li><li>Maintain tracking related to open alerts, internal watch lists, and other screening-system activities.</li><li>Assist with responses to validation and audit inquiries, observations, and findings.</li><li>Support documentation and other operational or administrative activities related to AML technology projects.</li></ul><p><br /></p>

Requirements

• RN
• DO
• PA

Description

<p><strong>Title: Senior Data Analyst</strong></p><p><strong>Location: New York (4 days onsite)</strong></p><p><strong>Duration: 12 months contract</strong></p><p><br /></p><p><br /></p><p><strong>Summary</strong></p><p><br /></p><p>Seeking a Data Analyst to help support and build reporting automation for various business critical initiatives. This may include subscriber reporting and automated email sends, custom pipeline building and integration with our data and tech tools, Python scripting to build, extend, and run automated reports, quality testing and visualization, AI-assisted report summaries, and development of reporting automation in GitHub.</p><p><br /></p><p><strong>Responsibilities</strong></p><ul><li>Respond to intake and document data requirements for subscriber reporting automation, including automated email sends and report configuration</li><li>Build and extend reporting functionality in Python (automation, rendering, and related tooling) through GitHub-based development</li><li>Create clean and understandable visualizations and email-friendly layouts</li><li>Develop queries based on required business logic to ensure accurate outputs</li><li>Incorporate data and output quality testing into daily pipelines</li><li>Develop strong knowledge of the technical infrastructure that underlies subscriber data</li><li>Contribute to the design of resilient reporting solutions that minimize data incidents</li></ul><p><br /></p><p><strong>Required Skills</strong></p><ul><li>5+ years of analytical experience</li><li>5+ years of scripting experience (Python, R, JavaScript), with meaningful use of Python for reporting automation workflows</li><li>3+ years using SQL and Looker (or equivalent) to develop, validate, or troubleshoot business logic in recurring reports and metrics deliverables</li><li>Data visualization experience (Looker, Tableau)</li><li>Experience with custom email reports (HTML, CSS) and email-client considerations</li><li>Strong verbal and written communication skills</li></ul><p><br /></p><p><strong>Preferred Skills</strong></p><ul><li>Experience building or prototyping tech from scratch</li><li>Comfort using AI coding assistants to prototype reporting changes</li><li>Understanding of statistics concepts (e.g., hypothesis testing, regression analysis)</li><li>Familiarity with Airflow</li></ul><p><br /></p><p><strong>Education</strong></p><p>N/A</p><p><br /></p><p><em>The estimated pay range for this position is USD $60.00/hr - USD $66.00/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.</em></p>

Requirements

• DO
• PA

Description

<p><strong>Senior Data Operations Analyst — Contract</strong></p><p><strong>Location:</strong> Los Angeles, CA (on-site preferred) or NYC (secondary) | <strong>Hours:</strong> 9–6 PM local</p><p><strong>Contract engagement</strong></p><p><strong>About the Role</strong></p><p>Our client, a major entertainment/media company, maintains a centralized platform for global content and campaign planning — the system of record senior leaders across marketing, publicity, and programming rely on to make scheduling, campaign, and resourcing decisions. This role exists to protect the integrity of that dataset: capturing information at the source, confirming it with accountable owners, and maintaining it to a defined standard.</p><p>You'll be embedded in the weekly rhythm of several stakeholder teams — attending meetings, capturing decisions and data points, and turning unstructured input into clean, structured, trusted data. Over time you'll be one of the few people who sees the dataset and workflow end-to-end, putting you in a unique position to spot conflicts, surface friction, and recommend improvements.</p><p>This is a highly visible, largely self-directed role suited to someone who's proactive, curious about the business behind the data, and comfortable operating in a process that's still being built.</p><p><strong>Responsibilities</strong></p><ul><li>Attend recurring stakeholder meetings and capture decisions, data points, action items, and open questions</li><li>Confirm data directly with accountable business leaders before entry</li><li>Enter and maintain records accurately within established turnaround expectations</li><li>Handle confidential and pre-release information with discretion, including embargoed titles, unannounced projects, and internal timelines</li><li>Triage in-the-moment stakeholder requests — what can be entered directly vs. what needs confirmation</li><li>Come to weekly alignment prepared with the state of your work</li><li>Identify and escalate data conflicts, stale records, and process friction</li><li>Maintain a running observations log with recommendations on data health and cross-team patterns</li><li>Provide direct feedback on the workflow itself to inform ongoing process design</li></ul><p><strong>Required Qualifications</strong></p><ul><li>4+ years in a data analyst, internal research, business operations, or reporting role</li><li>Entertainment or media industry background: content slates, production and release timelines, title-level data</li><li>Demonstrated ability to turn unstructured input (meetings, conversations, documents) into structured, reliable data</li><li>Proven track record handling confidential or pre-release information professionally</li><li>Strong stakeholder management — comfortable working with senior leaders, managing competing inputs, and holding your ground on data accuracy</li><li>Comfort with low-code/no-code tooling and relational data concepts (tables, linked records, formulas, views)</li><li>Strong Excel/Sheets skills (pivot tables, VLOOKUP, formulas)</li><li>Excellent written communication — clear notes, status updates, and escalations</li></ul><p><strong>Nice to Have</strong></p><ul><li>Airtable experience (formulas, views, interfaces)</li><li>Marketing data experience (campaign planning, media, creative operations)</li></ul><p><strong>Note:</strong> This is a contract-by-design engagement — as workflows mature and automation is layered in, the role is expected to resolve rather than convert to permanent headcount.</p>

Requirements

• RN
• DO
• NP
• PA
• Triage

Description

<p><strong>Data Storytelling &amp; Presentation:</strong></p><ul><li>Transform complex data into compelling client narratives.</li><li>Craft client-specific data stories aligned with unique needs and objectives.</li><li>Communicate insights through strategic storytelling techniques.</li><li>Design and develop data-driven presentations for client meetings, reviews, and proposals.</li><li>Ensure presentations are clear, data-focused, and aligned with client objectives.</li></ul><p><br /></p><p><strong>Client Services &amp; Communication:</strong></p><ul><li>Serve as the main point of contact for top-tier clients, utilizing data storytelling to engage and retain clients.</li><li>Anticipate future data needs and offer proactive, relevant data-driven solutions.</li><li>Regularly engage with clients to assess data needs, address concerns, and provide data-driven support.</li><li>Facilitate communication and collaboration between cross-department teams.</li><li>Research and stay up to date on industry, customer, and category trends.</li><li>Assist in gaining ongoing meetings with key customers for our clients.</li></ul><p><br /></p><p><strong>Skills and Qualifications:</strong></p><ul><li>Strong analytical and problem-solving abilities.</li><li>Creativity and innovation in data storytelling and presentations.</li><li>Excellence in communication and presentation delivery.</li><li>Deep understanding of client service principles.</li><li>Proficiency in data analysis and visualization tools (Excel, Tableau, Power BI, etc.).</li><li>Proactive, results-driven approach with continuous learning mindset.</li></ul><p><br /></p>

Requirements

• RN
• PA

Description

<p><strong>Title: </strong>AVP, Equity Research Analyst</p><p><strong>Office Status:</strong> Hybrid – New York, NY</p><p><strong>Base Salary: </strong>$155k – $175k + Discretionary Bonus</p><p><br /></p><p><strong>Overview:</strong></p><p>This AVP-level Equity Research Analyst opportunity sits within the U.S. Equity team of a well-established global institutional asset manager, offering meaningful ownership of fundamental equity research across the Information Technology sector in collaboration with a Senior Analyst. The role spans the full research process — financial modeling and valuation, earnings analysis, investment thesis development, and preparation of investment materials for portfolio managers in New York and Tokyo — with the potential to assume primary research responsibility for selected companies or areas within the IT sector based on demonstrated capabilities. It's an ideal fit for an experienced equity research professional with 3–5+ years of relevant experience who combines strong financial modeling skills with genuine intellectual curiosity, sound investment judgment, and the ability to contribute independently in a collaborative, multicultural investment environment.</p><p><br /></p><p><strong>Key Responsibilities:</strong></p><p>· Conduct fundamental, bottom-up research on companies within the IT sector in close collaboration with the Senior Analyst; contribute independent research views and differentiated investment insights</p><p>· Build, maintain, and update detailed company financial models including income statement, balance sheet, and cash flow forecasts, earnings estimates, valuation analyses, and scenario and sensitivity analyses</p><p>· Analyze quarterly earnings results, company guidance, investor presentations, SEC filings, and other relevant disclosures; identify key variances versus expectations and assess implications for earnings estimates, valuation, and investment thesis</p><p>· Conduct company and industry-level research using disclosures, industry data, third-party research, Bloomberg, and other relevant sources; organize and analyze large datasets to develop differentiated investment insights</p><p>· Develop and contribute to investment theses, target prices, and stock recommendations; identify potential new investment opportunities in collaboration with the Senior Analyst</p><p>· Contribute IT sector commentary and investment implications to daily morning notes and other internal communications to keep New York and Tokyo-based portfolio managers and the Equity Team current on key company, industry, and market developments</p><p>· Contribute to the internal ESG evaluation framework and other research processes as appropriate</p><p>· Collaborate across the Senior Analyst, portfolio managers, and other research analysts; assume primary research responsibility for selected companies or IT sector areas based on experience and demonstrated capabilities</p>

Requirements

• RN
• PA

Description

<p>About the Role</p><p><br /></p><p>We are building a small, high-caliber team of Forward Deployed Research Analysts with backgrounds spanning fundamental equity research, portfolio management, quantitative research, data science, and investment technology.</p><p><br /></p><p>This role sits at the intersection of investment research, technology, and applied AI. You will work directly with sophisticated investment teams to understand how they conduct research, analyze companies, evaluate opportunities, and make investment decisions, then help transform those workflows using AI.</p><p><br /></p><p>The platform is deployed directly within each client's cloud environment, enabling clients to maintain control over their data, infrastructure, security, and governance. As a Forward Deployed Research Analyst, you will work alongside portfolio managers, research analysts, and senior investment professionals to develop a deep understanding of their existing processes and build AI-enabled workflows that meaningfully improve how they operate.</p><p><br /></p><p>This is not a traditional equity research role, nor is it a traditional technology role. You will serve as the bridge between investment professionals, product teams, and engineers, translating complex research workflows into practical AI capabilities while helping shape the evolution of the platform.</p><p><br /></p><p><strong>This is a 4 days in office position, Wednesdays are remote. </strong></p><p><br /></p><p>Key Responsibilities</p><p><br /></p><p>Embed with Investment Teams and Drive AI-Led Transformation</p><ul><li>Work directly with portfolio managers, research analysts, and senior investment professionals to understand how they conduct research and make investment decisions.</li><li>Develop a deep understanding of clients' research processes, investment frameworks, data sources, and existing technology stacks.</li><li>Identify high-leverage opportunities where AI can automate manual work, augment investment analysis, or fundamentally improve existing processes.</li><li>Design and implement production-grade AI workflows that can be integrated into clients' day-to-day research and investment activities.</li></ul><p><br /></p><p>Transform Investment Research Workflows with AI</p><p><br /></p><ul><li>Apply your investment and financial markets expertise to identify where AI can have the greatest practical impact.</li><li>Help clients rethink workflows across areas such as fundamental research, idea generation, company analysis, financial modeling, earnings analysis, portfolio monitoring, risk, and data analysis.</li><li>Translate complex investment questions and processes into structured workflows that AI agents and models can effectively execute.</li><li>Build, test, and continuously improve these workflows based on feedback from investment professionals and real-world usage.</li></ul><p><br /></p><p>Bridge Investment Expertise and Engineering</p><p><br /></p><ul><li>Partner closely with engineering and product teams to translate client needs into AI agents, skills, data connectors, and product capabilities.</li><li>Communicate how investment professionals think, analyze information, and make decisions so technical teams can build solutions that accurately reflect institutional investment workflows.</li><li>Help define requirements for new capabilities based on direct exposure to client challenges.</li><li>Serve as a domain expert connecting investment research problems with technical solutions.</li></ul><p><br /></p><p>Shape the Product</p><p><br /></p><ul><li>Become a daily power user of the platform and develop a detailed understanding of its capabilities.</li><li>Gather structured, actionable feedback from client engagements and communicate what is working, what is missing, and where the product can improve.</li><li>Partner with product and engineering teams to help prioritize new features and functionality.</li><li>Identify recurring challenges across client engagements that can be solved through scalable product improvements.</li></ul><p><br /></p><p>Build Research Playbooks and Institutional Knowledge</p><p><br /></p><ul><li>Develop reusable AI-enabled workflows and best practices across investment research, portfolio management, risk, data science, and investment technology.</li><li>Contribute to a growing library of skills, agents, and research playbooks that can be deployed across investment organizations.</li><li>Capture best practices from individual client engagements and translate them into scalable capabilities.</li><li>Help build an institutional knowledge base connecting data, research, risk, technology, and investment decision-making.</li></ul><p><br /></p><p>Requirements</p><p><br /></p><p>Experience &amp; Seniority</p><p><br /></p><ul><li>3 to 7 years of professional experience in a core equity research function at a top-tier hedge fund, asset manager, sell-side research firm, RMS or financial data vendor platform, or institutional investment fund.</li><li>Strong understanding of fundamental equity research, company analysis, financial markets, and institutional investment workflows.</li><li>Experience working with or alongside portfolio managers and senior investment professionals is highly valued.</li><li>Ability to quickly understand complex investment processes and identify opportunities to improve or transform them.</li></ul><p><br /></p><p>Applied AI Experience</p><p><br /></p><ul><li>Demonstrated hands-on experience building with AI, rather than simply using commercially available AI tools.</li><li>Experience completing multiple practical AI projects, which may include:</li><li>GitHub repositories containing research-focused AI skills, agents, or applications.</li><li>AI-enabled investment research workflows.</li><li>Personal or professional side projects leveraging LLMs or other AI technologies.</li><li>Other examples demonstrating practical experimentation and a genuine interest in applying AI to investment research.</li><li>Strong curiosity around emerging AI capabilities and a willingness to experiment, build, test, and iterate.</li><li>A builder mentality with an interest in using technology to solve real investment research problems.</li></ul><p><br /></p><p>Financial Data &amp; Technical Skills</p><p><br /></p><ul><li>Hands-on experience working with leading financial data and research platforms such as Bloomberg, Visible Alpha, FactSet, PitchBook, Capital IQ, or similar tools.</li><li>Strong understanding of how investment professionals source, analyze, and incorporate financial and alternative data into their research processes.</li><li>Ability to understand how financial data, research content, and technology can be connected to create more effective investment workflows.</li><li>Comfortable partnering closely with technical teams to translate financial problems into AI-powered workflows, agents, skills, and data integrations.</li><li>Technical fluency is important, but candidates do not need to come from a traditional software engineering background.</li></ul><p><br /></p><p>Client-Facing &amp; Communication Skills</p><p><br /></p><ul><li>Ability to build trust and credibility quickly with sophisticated investment professionals.</li><li>Strong ability to ask the right questions, uncover underlying problems, and navigate unstructured or ambiguous conversations.</li><li>Comfortable engaging directly with senior investors, portfolio managers, research leaders, and C-suite executives at leading hedge funds and investment firms.</li><li>Excellent communication skills with the ability to translate effectively between investment professionals, product teams, and engineers.</li><li>Ability to operate independently in client-facing environments while representing the company with a high degree of professionalism.</li></ul><p><br /></p><p>The salary for this position is between 200-250k + Equity</p>

Requirements

• RN
• DO
• PA

Description

<p><strong>Technical / Functional Business Analyst – Back Office Operations &amp; Global Business Finance</strong></p><p><strong> Location:</strong> New York, New York (on-site)</p><p><strong>Job Type</strong>: Full-Time Employment</p><p><strong>Salary Base:</strong> 140K-200K DOE</p><p><br /></p><p><strong>Position Overview</strong></p><p>We are a global team of alternative investment managers passionate about delivering uncommon value to our investors and shareholders. With over 30 years of expertise across Private Equity, Credit, and Real Assets, we are known for our integrated businesses, strong investment performance, value-oriented philosophy, and exceptional people. We are looking for <strong>a Technical / Functional Business Analyst</strong> who understands <strong>both business operations and technology</strong>, with particular exposure to <strong>Controllers, Finance Operations, or Back Office environments.</strong> This role is ideal for someone who can work closely with business stakeholders, translate operational processes into clear requirements, and partner with engineering teams to deliver scalable enterprise solutions. The ideal candidate has experience working on <strong>corporate back-office platforms</strong> supporting finance or operations functions, understands reconciliation and control processes, and is comfortable using modern AI tools to improve productivity and documentation. This role begins as a consulting engagement with a right-to-hire path.</p><p><br /></p><p><strong>What You'll Do</strong></p><ul><li>Partner with Controllers, Operations, Finance, and Technology teams to understand business processes, pain points, and operational controls.</li><li>Analyze current-state workflows involving:</li><li>Cash reconciliation</li><li>Position reconciliation</li><li>Operational controls</li><li>Exceptions management</li><li>Approval workflows </li><li>Financial operations</li><li>Translate business requirements into:</li><li>Business process flows</li><li>Functional specifications</li><li>User stories</li><li>Acceptance criteria</li><li>Data requirements</li><li>Facilitate workshops and requirement gathering sessions with business stakeholders.</li><li>Work closely with Product Owners and Engineering teams to clarify requirements, prioritize work, and remove ambiguity.</li><li>Support UAT planning, test scenarios, and business validation.</li><li>Maintain end-to-end traceability between business requirements, technical implementation, and delivered functionality.</li><li>Document business processes and recommend improvements to increase efficiency and strengthen operational controls.</li><li>Use AI productivity tools (ChatGPT, Microsoft Copilot, Gemini, etc.) to accelerate documentation, analysis, summarization, and research while validating outputs for accuracy and compliance. </li></ul><p><br /></p><p><strong>What We're Looking For</strong></p><ul><li>5+ years of experience as a Business Analyst, Functional Analyst, or Technical BA delivering enterprise software solutions.</li><li>Experience working in Financial Services, Asset Management, Investment Banking, Banking, Insurance, or Corporate Finance environments.</li><li>Strong familiarity with Controllers or Back Office Operations.</li><li>Experience with one or more of the following:</li><li>Cash reconciliation</li><li>Position reconciliation</li><li>Trade operations</li><li>Financial controls </li><li>Accounting operations</li><li>Operations support functions</li><li>Excellent requirements gathering, process mapping, and stakeholder management skills.</li><li>Comfortable working with engineers and discussing:</li><li>APIs</li><li>Data flows</li><li>System integrations</li><li>Basic database concepts</li><li>Strong analytical thinking with the ability to identify process gaps and operational risks.</li><li>Excellent written and verbal communication skills.</li><li>Ability to balance business priorities with technical constraints.</li></ul><p><br /></p><p><strong>Nice to Have</strong></p><ul><li>Experience supporting Controllers, Finance, Treasury, Accounting, or Operations organizations.</li><li>Experience implementing or enhancing corporate back-office systems.</li><li>Basic SQL knowledge for analysis and reporting.</li><li>Familiarity with Agile delivery methodologies.</li><li>Exposure to workflow automation platforms, BPM tools, or event-driven architectures.</li><li>Experience working with enterprise ERP or financial platforms.</li><li>Understanding of audit, governance, compliance, and operational risk processes.</li><li>Experience using AI tools to improve productivity and documentation (hands-on AI solution development is not required).</li></ul><p><br /></p><p><strong>Why Join</strong></p><ul><li>Work on strategic platforms supporting critical Finance and Operations functions.</li><li>Partner directly with business leaders, Product Managers, and Engineering teams.</li><li>Help modernize enterprise back-office systems that improve operational efficiency and financial controls.</li><li>Build expertise in highly scalable financial technology platforms while leveraging AI as a productivity accelerator.</li><li>Join a collaborative team focused on practical execution, operational excellence, and continuous improvement.</li></ul><li></li>

Requirements

• RN
• DO
• PA

Description

<p>Equity Analyst – U.S. Technology</p><p>A leading investment firm is seeking an <strong>Equity Analyst</strong> to join its U.S. Equity team in <strong>New York</strong>, focused on the <strong>Information Technology sector</strong>.</p><p><strong>Key responsibilities:</strong></p><ul><li>Conduct fundamental, bottom-up research on U.S. technology companies.</li><li>Build and maintain financial models, earnings estimates, and valuation analyses.</li><li>Analyze earnings, SEC filings, company disclosures, and industry developments.</li><li>Develop investment theses, valuation targets, and stock recommendations.</li><li>Identify new investment opportunities and provide actionable insights to portfolio managers.</li><li>Prepare research and investment materials and communicate sector developments to investment teams.</li><li>Collaborate with senior analysts and portfolio managers across U.S. and international teams.</li></ul><p><strong>Key qualifications:</strong></p><ul><li>Strong background in fundamental equity research and U.S. public equities.</li><li>Strong financial modeling, accounting, and valuation skills.</li><li>Excellent analytical, quantitative, and communication abilities.</li><li>Experience with Bloomberg, FactSet, or similar platforms preferred.</li><li>CFA progress/designation and experience with Python, SQL, or other data tools are a plus.</li></ul><p><br /></p>

Requirements

• RN
• PA

Description

<p><strong>Pricing Analyst (Legal)</strong></p><p><strong>Location:</strong> New York, NY | Los Angeles, CA | Washington, DC</p><p><strong>Schedule:</strong> Hybrid — one day in the office per week</p><p><strong>Compensation:</strong> Up to $90,000 base salary + discretionary bonus</p><p><strong>Employment Type:</strong> Full-time, direct hire</p><p><br /></p><p>A leading global law firm is seeking a <strong>Pricing Analyst</strong> to support its growing pricing team. This opportunity is ideal for an early-career analyst looking to build expertise in pricing, financial analysis, and profitability within a collaborative professional services environment.</p><p><br /></p><p><strong>What You’ll Do</strong></p><ul><li>Support the development of pricing proposals, client budgets, and alternative fee arrangements.</li><li>Build Excel models to analyze matter profitability and support pricing decisions.</li><li>Review historical financial data and comparable matters to help develop budgets for new engagements.</li><li>Analyze billing rates, client performance, and market trends to identify pricing opportunities.</li><li>Help monitor budgets and prepare recommendations for pricing adjustments.</li><li>Maintain and audit billing rate and special fee arrangement data.</li><li>Prepare reports and presentations highlighting pricing trends and financial insights.</li><li>Collaborate with attorneys, finance colleagues, and other internal teams on analyses and special projects.</li></ul><p><br /></p><p><strong>What We’re Looking For</strong></p><ul><li>Relevant experience in pricing or financial analysis within a law firm or similar professional services organization.</li><li>Strong Excel skills, including pivot tables, lookup functions, formulas, and working with large datasets.</li><li>An interest in developing expertise in legal pricing, budgeting, and profitability analysis.</li><li>Strong attention to detail, problem-solving skills, and the ability to manage competing priorities.</li><li>Clear communication skills and a collaborative, service-oriented approach.</li><li>Bachelor’s degree; finance, accounting, economics, business, or a related field preferred.</li><li>Experience with Elite 3E, Aderant, Power BI, or Tableau is a plus.</li></ul><p><br /></p><p><strong>Why Consider This Opportunity?</strong></p><ul><li>Hybrid flexibility with only one day onsite per week.</li><li>An established team with strong tenure and opportunities for career growth.</li><li>Mentorship and tuition reimbursement.</li><li>Comprehensive healthcare benefits.</li><li>Four weeks of vacation, additional sick and personal time, and a birthday day off.</li><li>401(k) and profit sharing.</li></ul>

Requirements

• RN
• DO
• PA
• Billing

Benefits

• Vacation

Description

<p>A leading New York hedge fund is looking to hire an Associate to join its Credit COO team, directly supporting credit trading.</p><p><br /></p><p>This is a high-impact, front-office-facing role sitting at the intersection of trading, business management, controls, and technology. You will work directly with Portfolio Managers and Traders, taking ownership of critical trading processes and controls while identifying opportunities to improve workflows, scalability, and execution.</p><p><br /></p><p>We are looking for someone who is analytical, commercially minded, and technically curious - someone who enjoys getting into the detail, challenging how things are done, and turning problems into scalable solutions.</p><p><br /></p><p>This is an opportunity to gain broad exposure to a sophisticated trading platform and work alongside some of the firm's most senior investment and technology professionals.</p><p><br /></p><p><strong>Key Responsibilities</strong></p><ul><li>Oversee key trading controls and processes, monitoring daily activity, limits, exceptions, and control overrides across the Credit platform.</li><li>Act as a senior escalation point for trading and operational issues, coordinating with Portfolio Managers, Traders, Operations, Middle Office, Legal, Treasury, and other stakeholders to drive timely resolution.</li><li>Investigate incidents and recurring issues, identifying root causes and working with relevant teams to implement sustainable solutions.</li><li>Develop a deep understanding of trading workflows and act as a subject matter expert on processes, controls, and issue management.</li><li>Partner directly with Portfolio Managers, Traders, and Engineering teams to identify opportunities to improve workflows, automate manual processes, and enhance trading infrastructure.</li><li>Support centralized hedging activity across rates and FX, ensuring processes remain aligned with portfolio and risk requirements.</li><li>Own or contribute to the onboarding of new investment professionals, ensuring they are effectively integrated into the firm's systems, workflows, and control environment.</li><li>Coordinate the onboarding of new counterparties, working across Legal, Tax, Operations, and other control functions to ensure a smooth implementation.</li><li>Lead and contribute to broader strategic projects designed to improve the scalability, efficiency, and control environment of the Credit business.</li><li>Prepare clear analysis and recommendations for senior stakeholders, helping inform business and investment decisions.</li></ul><p><br /></p><p><strong>Background: </strong></p><ul><li>2-5 years of experience in a front-office, COO, business management, trade support, or business analyst capacity within financial services.</li><li>Experience within Credit, Fixed Income, or another trading environment strongly preferred.</li><li>Genuine understanding of financial markets, trading workflows, and investment products.</li><li>Strong analytical and problem-solving skills, with exceptional attention to detail.</li><li>Advanced Excel skills; exposure to SQL, Python, Tableau, or other analytical/technical tools is advantageous.</li><li>Excellent communication skills, with the ability to distil complex issues into clear conclusions and recommendations.</li><li>Highly organised and comfortable managing multiple priorities in a fast-moving trading environment.</li><li>Experience working with project management or development tools such as Jira or Confluence is a plus.</li><li>Bachelor's degree in Finance, Economics, Engineering, Computer Science, or a related discipline.</li></ul><p><br /></p><p><strong>Characteristics: </strong></p><ul><li>You are intellectually curious. You want to understand how the trading business actually works, not simply follow an established process.</li><li>You take ownership. When an issue arises, you coordinate the right people, identify the root cause, and make sure it gets fixed properly.</li><li>You think commercially. You understand the priorities of a trading desk and can balance control, efficiency, and the needs of the investment team.</li><li>You challenge the status quo. You naturally look for ways to remove friction, automate manual work, and make processes more scalable.</li><li>You are technically minded. You enjoy working with data, systems, and engineers to turn business problems into better technology.</li><li>You can operate under pressure. You are comfortable handling multiple live issues while maintaining exceptional attention to detail.</li><li>You communicate exceptionally well. You can move seamlessly between Portfolio Managers, Traders, Engineers, and control functions and make complex problems easy to understand.</li></ul><p><br /></p><p>For more information, please apply with your resume</p><p><br /></p>

Requirements

• RN
• DO
• PA

Description

<p><strong>About the Role</strong></p><p>The Systems &amp; Data Analyst will be responsible for developing, maintaining, and enhancing HR systems and other enterprise business applications. Working closely with Human Resources, Finance, IT, and business leadership, this individual will play an integral role in the implementation and ongoing optimization of<strong> </strong>Workday<strong>.</strong></p><p><br /></p><p>This position will have hands-on involvement across data migration, system integrations, testing, reporting, dashboards, data governance, and process improvement. It is an excellent opportunity for someone who enjoys working at the intersection of systems, data, and business operations.</p><p><br /></p><p><strong>Responsibilities</strong></p><ul><li>Partner with cross-functional stakeholders to gather business requirements and translate them into scalable reports, dashboards, system enhancements, and technology solutions.</li><li>Support the implementation and ongoing optimization of Workday, including data migration, validation, testing, workflows, data quality, and system functionality.</li><li>Design, develop, and maintain data pipelines, integrations, data storage solutions, and data exchange processes across HR and enterprise applications.</li><li>Troubleshoot system and data issues while maintaining data integrity, governance, privacy, and security standards across the application environment.</li><li>Support additional enterprise business systems, conduct ad hoc analysis for leadership, and maintain clear documentation of processes, integrations, and system configurations.</li></ul><p><strong>Requirements</strong></p><ul><li>Bachelor’s degree with 4–6 years of relevant experience in HR systems, business analytics, Human Resources technology, enterprise applications, or a related area.</li><li>Hands-on Workday experience required, including experience with HRIS systems, integrations, reporting, data management, and system enhancement initiatives.</li><li>Strong technical experience with data integrations and exchange technologies, including APIs, authentication, encryption, certificates (x509/PGP), and SFTP.</li><li>Advanced proficiency with Microsoft Excel; experience with Power BI, automation, and orchestration tools is highly desirable, along with exposure to enterprise financial or professional-services systems.</li><li>Strong project management, analytical, and communication skills with the ability to manage competing priorities, collaborate across HR, Finance, IT, and external partners, and handle confidential information with discretion.</li></ul><p><br /></p>

Requirements

• RN
• DO
• PA

Description

<p><strong>Role Overview</strong></p><p><br /></p><p>We are seeking a <strong>Business Intelligence / Data Analyst</strong> to join the data and analytics team of a leading investment management firm.</p><p>The ideal candidate has <strong>1–4 years of experience within investment management, asset management, private equity, financial services, or commercial real estate</strong> and is highly proficient with <strong>Power BI and SQL</strong>.</p><p><br /></p><p>This role is focused on building dashboards, analyzing financial and investment data, and partnering with business stakeholders to deliver reporting and insights. We are looking for someone who understands how to work with data in a financial environment and can turn complex datasets into clear, useful reporting.</p><p><br /></p><p>Key Responsibilities:</p><ul><li>Build, maintain, and enhance <strong>Power BI dashboards and reports</strong> used by investment and business teams.</li><li>Work with <strong>financial, fund, portfolio, investment, and operational data</strong> to support recurring reporting and analysis.</li><li>Write and maintain <strong>SQL queries</strong> to extract, transform, validate, and analyze data.</li><li>Translate business requirements into dashboards, reports, KPIs, and other analytics solutions.</li><li>Work directly with business stakeholders to understand reporting needs and provide actionable insights.</li><li>Validate and reconcile data to ensure reporting is accurate and reliable.</li><li>Analyze information across multiple data sources and troubleshoot discrepancies.</li><li>Partner with data and technology teams to understand data sources and improve reporting processes.</li><li>Help automate and improve existing reporting processes.</li><li>Support monthly and quarterly reporting cycles.</li><li>Document reporting logic, metrics, and data definitions.</li></ul><p>Core Qualifications:</p><ul><li><strong>1–4 years of professional data analytics, BI, or reporting experience.</strong></li><li>Experience within <strong>investment management, asset management, private equity, financial services, banking, or commercial real estate.</strong></li><li><strong>Strong hands-on Power BI experience</strong> — this is a key requirement.</li><li>Strong <strong>SQL</strong> skills.</li><li>Experience creating dashboards, reports, visualizations, and KPIs for business users.</li><li>Comfortable working with <strong>financial, investment, portfolio, fund, transaction, or similar business data</strong>.</li><li>Strong data validation and analytical skills.</li><li>Ability to communicate with both technical teams and business stakeholders.</li><li>Bachelor's degree in a relevant field or equivalent professional experience.</li></ul><p>Huge Plus:</p><ul><li>Experience with <strong>Snowflake</strong>.</li><li>Exposure to <strong>Sigma Computing</strong>.</li><li>Familiarity with <strong>dbt</strong> or modern data transformation tools.</li><li>Experience with investment/fund reporting or portfolio analytics.</li><li>Exposure to private equity or commercial real estate data.</li><li>Basic understanding of data modeling and data pipelines.</li></ul><p><br /></p><p><strong>Must Have:</strong></p><p><strong>Power BI • SQL • Financial/Investment Industry Experience</strong></p><p><br /></p><p><br /></p><p><em>The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.</em></p>

Requirements

• RN
• DO
• PA

Description

<p><strong>Company Description</strong> Optimal Ticketing helps sports teams, venues, artists, and promoters turn the secondary ticket market into a strategic advantage. Powered by more than $5 billion in annual secondary market ticket data, the company provides insights, technology, and expertise to understand demand, optimize pricing, and maximize revenue. Its platform unifies real-time market intelligence, pricing and revenue analysis, inventory management, and multi-marketplace distribution in a single solution. With more than 350 partnerships across sports and entertainment and over 100 years of combined industry experience, Optimal Ticketing acts as a trusted extension of partners’ teams. The organization focuses on helping partners unlock the full value of their ticket inventory in an increasingly complex ticketing landscape.</p><p><br /></p><p><strong>Role Description</strong> This is a full-time, on-site Pricing Analyst role based in the New York City Metropolitan Area. The Pricing Analyst will monitor and analyze secondary market ticket data, evaluate demand trends, and develop dynamic pricing recommendations to support revenue optimization across client portfolios. Responsibilities include building and maintaining pricing models, preparing data-driven reports and dashboards, and collaborating with internal stakeholders to translate insights into actionable strategies. The role will also involve supporting inventory management decisions, testing pricing strategies, and contributing to continuous improvement of tools and processes. The Pricing Analyst will work closely with client-facing teams to communicate findings, inform strategy, and help partners achieve measurable outcomes.</p><p><br /></p><p><strong>Qualifications</strong></p><p>• Bachelor's degree in Business, Economics, Finance, Mathematics, Statistics, Data Analytics, Sports Management, or a related field preferred.</p><p>• Strong quantitative and analytical skills with the ability to turn large amounts of data into actionable pricing decisions.</p><p>• Advanced proficiency in Microsoft Excel or similar analytical tools.</p><p>• Experience with SQL, BI/data-visualization tools, or large datasets is strongly preferred.</p><p>• Strong understanding of supply-and-demand dynamics and an interest in pricing, trading, revenue management, or marketplace businesses.</p><p>• Ability to make informed decisions in situations where information is incomplete and market conditions are changing quickly.</p><p>• Excellent attention to detail and ability to identify unusual market movements or data anomalies.</p><p>• Strong organizational skills with the ability to manage a large number of events and competing priorities simultaneously.</p><p>• Ability to work independently while collaborating effectively with other pricing analysts and cross-functional teams.</p><p>• Strong interest in sports, concerts, live entertainment, and the secondary ticket marketplace.</p><p>• Willingness to occasionally monitor or respond to significant market developments outside traditional business hours.</p><p><br /></p><p><strong>Preferred Qualifications</strong></p><p>• Secondary ticketing or live-event pricing</p><p>• Revenue management or dynamic pricing</p><p>• Sports or entertainment analytics</p><p>• E-commerce or marketplace businesses</p><p>• Trading, financial markets, or other real-time pricing environments</p><p>• Inventory management</p><p>• Using AI for analysis</p><p><br /></p><p><strong>The Ideal Candidate</strong></p><p>The strongest candidate will be someone who enjoys both analytics and decision-making. This is not a role focused solely on producing reports. Pricing Analysts are expected to develop a point of view, make decisions, measure the results, and continuously improve their approach.</p><p>You may be a strong fit if you enjoy looking at a market, understanding why prices are moving, identifying where an opportunity exists, and making a decision before that opportunity disappears.</p><p><br /></p>

Requirements

• RN
• PA

Description

<p><strong>GRC Analyst — AI Fintech Scale-Up | Manhattan, New York</strong></p><p><br /></p><p>An AI company building analyst tooling for the world's largest investment banks, private equity funds and hedge funds is hiring a GRC Analyst to support its customer trust, security assurance and compliance programmes as it scales globally.</p><p><br /></p><p>This is a hands-on role at a company with strong product-market fit and serious backing, at the point where enterprise customer demands are outgrowing the processes built to handle them.</p><p><br /></p><p><strong>What you'll own</strong></p><ul><li>Customer trust and security assurance, including responding to security inquiries and risk assessments</li><li>Acting as a key point of contact for customer security reviews, partnering internally to give accurate, consistent and timely responses</li><li>Maintaining and improving security documentation and response materials so they stay aligned to current systems and controls</li><li>Working with security and engineering to understand technical controls and articulate them in a customer-facing context</li><li>Supporting compliance across SOC 2, ISO 27001, ISO 42001, the EU AI Act, UK Cyber Essentials and GDPR, including evidence collection and audit readiness</li><li>Spotting recurring themes and gaps in customer inquiries and feeding them back into security and compliance practice</li><li>Streamlining trust workflows as customer volume and enterprise requirements grow</li></ul><p><br /></p><p><strong>What you'll need</strong></p><ul><li>Experience supporting customer-facing security, compliance or trust functions at a SaaS or cloud-native company</li><li>The ability to translate technical security concepts into clear, concise written responses</li><li>An understanding of enterprise security expectations across cloud infrastructure, access control, data protection and incident response</li><li>Strong attention to detail, and the ability to run multiple parallel requests without dropping quality</li><li>Sound judgment on sensitive or ambiguous security questions</li></ul><p><br /></p><p><strong>Nice to have</strong></p><ul><li>Security questionnaires, audits or third-party risk assessments</li><li>Cloud security concepts (AWS/GCP, Kubernetes, IAM)</li><li>Experience scaling trust, GRC or compliance processes in a growing organisation</li><li>Supporting enterprise customers, particularly in financial services</li></ul><p><br /></p><p><strong>The environment</strong></p><p>Fast-paced and high-intensity, with a small, dense team. You'd need to be comfortable with ambiguity and self-directed enough to own outcomes rather than wait for direction.</p><p><br /></p><p>Based in Manhattan.</p><p><br /></p><p>If this sounds like you, get in touch.</p><p>[email protected]</p><p>+1 212 970 7603</p>

Requirements

• RN
• DO
• PA

Description

<p>The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.</p><p><br /></p><p><strong>Responsibilities</strong></p><ul><li>Understand the day-to-day issues that our business faces, which can be better understood with data</li><li>Compile and analyze data related to business' issues</li><li>Develop clear visualizations to convey complicated data in a straightforward fashion</li></ul><p><br /></p><p><strong>Qualifications</strong></p><p><br /></p><ul><li>Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience</li><li>1 - 2 years' Data Analysis experience</li><li>Proficient in SQL</li></ul><p><br /></p>

Requirements

• PA

Description

<p><strong>Leading Real Estate Investment Firm in NYC looking to hire Analyst / Sr Analyst.</strong></p><p><br /></p><p>This is an exciting opportunity for a motivated professional seeking a hybrid of accounting, finance, and portfolio management with high exposure to the front office, at a growing, family-oriented firm.</p><p><br /></p><p><strong>Firm Overview:</strong></p><p>• Real Estate Investment Firm</p><p>• 100 Employees</p><p>• Very low turnover, promote a lot from within</p><p>• Office in Midtown</p><p>• In office 4x a week</p><p>• Culture – Family Oriented, Very Flat Organization</p><p><br /></p><p><strong>Responsibilities</strong>:</p><p>• Role is newly created with the opportunity to make a real impact</p><p>• Blend accounting, finance, and portfolio management work, with high exposure to the front office</p><p>• Partner closely with asset managers, acquisitions, and senior leadership to support investment and portfolio decisions</p><p>• Analyze asset-level and portfolio-level performance, including budget-to-actual variances, operating results, and key drivers</p><p>• Support budgeting, forecasting, and reporting across the portfolio</p><p>• Prepare and review fund and investor reporting, working with the accounting and fund teams to keep numbers accurate and timely</p><p>• Build and maintain financial models and supporting analyses to track performance and inform decisions</p><p>• Contribute to fund-raising and investor materials as the firm raises new funds</p><p><br /></p>

Requirements

• RN
• PA

Description

<p>Real Estate Private Equity firm is looking for an Operations analyst to assist with their analysis of market transactions, portfolio and cash flow activities.</p><p>Prepare reports to senior management relating to investment portfolio analytics.</p><p>Key person with internal and external clients in helping determine investment opportunities.</p><p>Role with have some supervisory responsibilities and require above average communication and technology skills.</p><p>Ideal candidate with have 6 years in related industry (real estate, P/E or public accounting) with strong, relevant finance and operations experience. CFA and/or CPA a plus</p>

Requirements

• RN
• PA