Data Science Jobs in New York City

Description

Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part...

Requirements

• PA

Description

<p><br /> </p><p><b>Corporate Vice President, Data Governance Protection Analyst</b></p><br /> <br /><br /> <p><b>About the Company</b></p><br /> <p>Major insurance company leading enterprise data governance, protection, and compliance initiatives.</p><br /> <p><b>Industry</b><br />Insurance</p><br /> <p><b>Type</b><br />Privately Held</p><br /> <br /> <br /> <br /> <br /> <br /> <br /><br /> <p><b>About the Role</b></p><br /> <p>The Company is seeking a Corporate VP, Data Governance Protection Analyst to lead a team of data governance analysts and engineers. The successful candidate will be responsible for collaborating with various stakeholders, including product managers, technology teams, data owners, data security teams, and legal and compliance professionals. The primary focus of this role is to deliver capabilities such as data scanning for PII/PHI detection, data protection using tokenization/masking, and data risk measurement, monitoring, and mitigation. The role also involves engineering solution development to ensure compliance with regulatory data protection guidelines and the rollout of data risk taxonomy and measurement reporting frameworks.<br /><br />Applicants for the Corporate VP, Data Governance Protection Analyst position at the company should have a strong background in data governance, data protection, and risk management. The role requires expertise in data scanning, tokenization, and masking techniques, as well as experience with data risk measurement and mitigation. The ideal candidate will have a proven track record of leading teams and driving business outcomes related to data governance and protection. A deep understanding of regulatory data protection guidelines and experience with relevant data governance and security tools is essential. The role demands a strategic thinker who can effectively collaborate with cross-functional teams to ensure the security and compliance of enterprise data.</p><br /> <br /> <br /> <br /> <p><b>Functions</b></p><br /> <ul><br /> <li>Data Management/Analytics</li><li>Information Technology</li><br /> </ul><br /> <br /><br /> <p></p>

Requirements

• RN
• PA

Description

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Description

<div><h3>Company Overview</h3><br /> <p>Every firm has a culture – the values, beliefs, methodology, attitudes and standards that reflect an organization’s DNA. But the truly inspiring firms – the game-changers, the industry leaders and the disruptors – have cultures that propel them to innovate and stand out. At Brown Advisory, we aim to be one of those inspired firms. Over the years, we have purposefully built and nurtured our client-first culture.</p><br /> <p>Brown Advisory is an independent investment management and strategic advisory firm committed to delivering a combination of first-class performance, strategic advice and the highest level of client service. The firm’s clients—including individuals, families, family offices, endowments, foundations, charities, institutions, consultants, and financial intermediaries—are served by over 1,000 colleagues worldwide, all of whom are equity owners of the firm.</p><br /> <h3>Position Summary</h3><br /> <p>Brown Advisory is seeking a Senior Addepar Data Engineer / Analyst to help advance the firm’s Wealth and Asset Management data capabilities. This role is responsible for supporting and scaling the Addepar data ecosystem, with a focus on data engineering, platform analytics, integration support, data quality, operational automation, and investment data enablement.</p><br /> <p>The role will work at the intersection of technology, investment operations, portfolio management, client reporting, and enterprise data. The successful candidate will help ensure that Addepar data is accurate, reliable, timely, well-governed, and available for downstream reporting, analytics, advisory workflows, and business decision-making.</p><br /> <p>This is a high-impact opportunity for a hands-on Addepar professional who understands investment data, can solve complex data problems, and wants to help shape a modern asset management technology environment. The role will support integrations between Addepar, Snowflake, Canoe, reporting platforms, portfolio systems, client platforms, and other enterprise applications.</p><br /> <h3>Primary Duties and Responsibilities</h3><br /> <ul><br /> <li>Serve as a senior technical and analytical resource for Brown Advisory’s Addepar data ecosystem.</li><br /> <li>Support, enhance, and scale Addepar workflows across portfolio management, client reporting, investment operations, performance analytics, and advisory processes.</li><br /> <li>Analyze, troubleshoot, and resolve complex data issues involving accounts, entities, ownership structures, portfolios, holdings, transactions, securities, classifications, attributes, benchmarks, performance, and reporting outputs.</li><br /> <li>Build, maintain, and improve data pipelines between Addepar and enterprise platforms, including Snowflake, reporting tools, client platforms, portfolio systems, accounting systems, Canoe, and other vendor applications.</li><br /> <li>Use Addepar APIs, extracts, imports, and platform tools to enable data integration, automation, enrichment, validation, and downstream consumption.</li><br /> <li>Develop SQL queries, reconciliation logic, exception reports, data profiling routines, and automated data quality controls.</li><br /> <li>Partner with business and technology stakeholders to translate portfolio management, client reporting, operations, and analytics needs into data requirements, technical specifications, and scalable delivery solutions.</li><br /> <li>Support ingestion, transformation, normalization, and validation of portfolio, client, account, security, transaction, performance, benchmark, alternative investment, and reference data.</li><br /> <li>Contribute to Snowflake-centered data architecture by supporting secure data ingestion, modeling, quality checks, consumption-layer design, and integration with analytics and reporting platforms.</li><br /> <li>Collaborate with investment operations and reporting teams to validate performance, exposure, allocation, classification, and client reporting data.</li><br /> <li>Support production data operations, including data-feed monitoring, exception management, issue triage, root-cause analysis, release validation, vendor escalation, and post-incident remediation. Identify opportunities to automate manual workflows, reduce recurring data exceptions, improve data quality, and strengthen operational controls.</li><br /> <li>Maintain clear documentation for data flows, mappings, business rules, reconciliation procedures, platform processes, and production support runbooks.</li><br /> <li>Participate in platform enhancements, regression testing, user acceptance testing, release planning, and change-management activities.</li><br /> <li>Ensure Addepar-related data processes align with Brown Advisory’s standards for security, privacy, auditability, operational resilience, and financial services regulatory expectations.</li><br /> <li>Partner with architects, engineers, platform owners, business analysts, vendors, and data governance stakeholders to continuously improve the reliability, scalability, and usability of the Addepar data environment.</li><br /> </ul><br /> <h3>Required Qualifications</h3><br /> <ul><br /> <li>Bachelor’s degree in Information Systems, Information Technology, Computer Science, Finance, Accounting, Business Analytics, Data Analytics, or a related field.</li><br /> <li>5+ years of hands-on experience with the Addepar platform in a wealth management, asset management, family office, investment advisory, or financial services environment.</li><br /> <li>5+ years of experience in data engineering, data analysis, investment operations technology, financial systems support, platform analytics, or enterprise data operations.</li><br /> <li>Strong understanding of the Addepar data model, including accounts, entities, ownership structures, portfolios, holdings, transactions, securities, classifications, attributes, benchmarks, performance, and reporting views.</li><br /> <li>Experience supporting Addepar data imports, exports, data feeds, integrations, reconciliation processes, and platform configuration.</li><br /> <li>Intermediate to advanced SQL skills, including joins, aggregations, data profiling, exception identification, reconciliation, and large-dataset analysis.</li><br /> <li>Experience diagnosing and resolving data quality issues across portfolio, account, transaction, position, security master, performance, and reporting datasets.</li><br /> <li>Strong understanding of wealth or asset management workflows, including portfolio management, investment operations, client reporting, performance reporting, alternative investments, and financial reporting.</li><br /> <li>Experience translating business requirements into data requirements, technical specifications, data mappings, validation rules, and operating procedures.</li><br /> <li>Strong analytical, problem-solving, communication, documentation, and stakeholder-management skills.</li><br /> <li>Ability to operate effectively in a fast-paced environment with multiple priorities, production deadlines, and high expectations for accuracy, reliability, and responsiveness.</li><br /> <li>Ability to work in Brown Advisory’s Baltimore office three days per week.</li><br /> </ul><br /> <h3>Desired Qualifications</h3><br /> <ul><br /> <li>Experience integrating Addepar with Snowflake, Databricks, enterprise data warehouses, BI/reporting tools, CRM platforms, client portals, portfolio accounting systems, or investment operations platforms.</li><br /> <li>Experience using Addepar APIs or developer tools to support automated extracts, data enrichment, platform integrations, workflow automation, or downstream reporting processes.</li><br /> <li>Experience with Canoe or similar alternative investment document automation, and data extraction.</li><br /> <li>Experience with Snowflake, including data ingestion, transformation, modeling, access controls, data sharing, and consumption-layer design.</li><br /> <li>Experience with Python, dbt, ETL/ELT tools, orchestration platforms, APIs, file-based integrations, and automation scripts.</li><br /> <li>Knowledge of portfolio accounting, investment book of record concepts, performance measurement, client reporting, asset classification, account hierarchy, and investment data governance.</li><br /> <li>Experience developing dashboards, exception reports, reconciliation tools, operational metrics, or analytics datasets.</li><br /> <li>Familiarity with financial services controls, including audit, data lineage, access controls, SOX, AML/KYC, SEC/FINRA, and operational risk requirements.</li><br /> <li>Experience with Agile delivery, SDLC processes, production support, incident management, root-cause analysis, release validation, and change-management procedures.</li><br /> <li>Ability to work across business, data, technology, investment operations, reporting, compliance, and vendor teams to deliver practical, scalable data solutions.</li><br /> </ul><br /> <h3>Technical Competencies</h3><br /> <ul><br /> <li>Addepar data model, platform configuration, reporting views, data imports, exports, integrations, and APIs</li><br /> <li>Portfolio, account, entity, ownership, holding, transaction, security master, classification, benchmark, performance, and reporting data</li><br /> <li>SQL, data profiling, data reconciliation, data validation, and exception management</li><br /> <li>Snowflake and modern enterprise data platform concepts</li><br /> <li>API-based integrations, file-based integrations, ETL/ELT workflows, and data pipeline support</li><br /> <li>Wealth and asset management workflows</li><br /> <li>Portfolio analytics, client reporting, performance reporting, investment operations, and financial reporting</li><br /> <li>Alternative investment data workflows, including Canoe or comparable platforms</li><br /> <li>Data governance, data quality, lineage, access controls, auditability, and operational resilience</li><br /> <li>Production support, incident triage, root-cause analysis, vendor escalation, release validation, and runbook documentation</li><br /> <li>Agile delivery, requirements analysis, user acceptance testing, change management, and technical documentation</li><br /> <li>Communication with investment, operations, reporting, compliance, data, technology, and vendor stakeholders</li><br /> </ul><br /> <p>Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization (e.g., H-1B, O-1, F-1 (OPT), TN, or any other non-immigrant visa classifications that require employer support or sponsorship).</p><br /> <h3>Salary</h3><br /> <p><b>MD Salary:</b> $132.5K–$172.5K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.</p><br /> <p><b>MA Salary:</b> $145.75K–$189.75K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.</p><br /> <p><b>DC Salary:</b> $145.75K–$189.75K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.</p><br /> <p><b>NY Salary:</b> $159K–$207K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.</p><br /> <h3>Benefits</h3><br /> <p>At Brown Advisory we offer a competitive compensation package, including full benefits.</p><br /> <ul><br /> <li>Medical</li><br /> <li>Dental</li><br /> <li>Vision</li><br /> <li>Wellness program participation incentive</li><br /> <li>Financial wellness program</li><br /> <li>Fitness event fee reimbursement</li><br /> <li>Gym membership discounts</li><br /> <li>Colleague Assistance Program</li><br /> <li>Telemedicine Program (for those enrolled in Medical)</li><br /> <li>Adoption Benefits</li><br /> <li>Daycare late pick-up fee reimbursement</li><br /> <li>Basic Life &amp; Accidental Death &amp; Dismemberment Insurance</li><br /> <li>Voluntary Life &amp; Accidental Death &amp; Dismemberment Insurance</li><br /> <li>Short Term Disability</li><br /> <li>Paid parental leave</li><br /> <li>Group Long Term Disability</li><br /> <li>Pet Insurance</li><br /> <li>401(k) (50% employer match up to IRS limit, 4 year vesting)</li><br /> </ul><br /> <p>Brown Advisory is an Equal Employment Opportunity Employer.</p></div><br /> #J-18808-Ljbffr

Requirements

• RN
• MD
• DO
• PA
• Triage

Benefits

• Dental
• Vision
• Pto
• Gym
• Wellness

Description

<div><p><b>Job Title:</b> PeopleSoft Integration Engineer &amp; Support Analyst</p><br /> <h3>Job Summary</h3><br /> <p>Next Generation, Inc. (NGI), an Equal Opportunity Employer, is seeking an experienced PeopleSoft Integration Engineer &amp; Support Analyst to join our team. This role is responsible for integrating new PeopleSoft modules and maintaining support for existing modules in production. The ideal candidate will have strong PeopleSoft technical skills, a background in Oracle DBA support, and proven experience in customization, upgrades, and troubleshooting.</p><br /> <h3>Job Requirements</h3><br /> <ul><br /> <li>Provide services to support and maintain the PeopleSoft production environment, including Human Resources, Benefits, and Payroll modules.</li><br /> <li>Integrate new PeopleSoft modules such as Time and Labor, eProcurement, Budget, and Financials into the existing production system.</li><br /> <li>Deliver Oracle DBA support for PeopleSoft applications.</li><br /> <li>Customize PeopleSoft code to meet evolving business requirements.</li><br /> <li>Apply upgrades, patches, and fixes; troubleshoot issues; coordinate resolution and problem-solving efforts.</li><br /> <li>Research potential processing issues and implement data manipulation or correction scripts.</li><br /> <li>Conduct testing and validation to ensure functional and technical accuracy.</li><br /> <li>Work both independently and as part of a team to deliver high-quality solutions.</li><br /> <li>Maintain clear documentation and communicate effectively with stakeholders.</li><br /> </ul><br /> <h3>Key Responsibilities</h3><br /> <ul><br /> <li>Bachelor’s Degree in a related discipline.</li><br /> <li>10+ years of Peoplesoft Experience.</li><br /> <li>3+ years of full-time, paid experience as a PeopleSoft Integration Engineer &amp; Support Analyst.</li><br /> <li>Strong initiative, leadership ability, and work ethic.</li><br /> <li>Excellent verbal and written communication skills.</li><br /> <li>Ability to work independently and collaboratively.</li><br /> </ul><br /> <h3>Preferred Technical Skills</h3><br /> <p>Experience with one or more of the following is highly desirable:</p><br /> <ul><br /> <li>PeopleTools (6+ years)</li><br /> <li>PeopleCode (6+ years)</li><br /> <li>Application Engine (6+ years)</li><br /> <li>Component Interface (6+ years)</li><br /> <li>SQR (6+ years)</li><br /> <li>XML/BI Publisher (6+ years)</li><br /> <li>JavaScript (6+ years)</li><br /> <li>jQuery (6+ years)</li><br /> </ul><br /> <h3>Job Benefits</h3><br /> <ul><br /> <li>Competitive hourly rate range based on experience of approximately $110 - $135 USD</li><br /> </ul></div><br /> #J-18808-Ljbffr

Requirements

• DO
• PA

Description

<p><strong>Job Title:</strong> PeopleSoft Integration Engineer &amp; Support Analyst</p><p><strong>Job Summary:</strong></p><p>Next Generation, Inc. (NGI), an Equal Opportunity Employer, is seeking an experienced PeopleSoft Integration Engineer &amp; Support Analyst to join our team. This role is responsible for integrating new PeopleSoft modules and maintaining support for existing modules in production. The ideal candidate will have strong PeopleSoft technical skills, a background in Oracle DBA support, and proven experience in customization, upgrades, and troubleshooting.</p><p>**<br />**</p><p><strong>Job Requirements:</strong></p><p>• Provide services to support and maintain the PeopleSoft production environment, including Human Resources, Benefits, and Payroll modules.</p><p>• Integrate new PeopleSoft modules such as Time and Labor, eProcurement, Budget, and Financials into the existing production system.</p><p>• Deliver Oracle DBA support for PeopleSoft applications.</p><p>• Customize PeopleSoft code to meet evolving business requirements.</p><p>• Apply upgrades, patches, and fixes; troubleshoot issues; coordinate resolution and problem-solving efforts.</p><p>• Research potential processing issues and implement data manipulation or correction scripts.</p><p>• Conduct testing and validation to ensure functional and technical accuracy.</p><p>• Work both independently and as part of a team to deliver high-quality solutions.</p><p>• Maintain clear documentation and communicate effectively with stakeholders.</p><p><strong>Key Responsibilities:</strong></p><p>• Bachelor's Degree in a related discipline.</p><p>• 10+ years of Peoplesoft Experience</p><p>• 3+ years of full-time, paid experience as a PeopleSoft Integration Engineer &amp; Support Analyst.</p><p>• Strong initiative, leadership ability, and work ethic.</p><p>• Excellent verbal and written communication skills.</p><p>• Ability to work independently and collaboratively.</p><p><strong>Preferred Technical Skills: __</strong><em>Experience with one or more of the following is highly desirable:</em></p><p>• PeopleTools (6+ years)</p><p>• PeopleCode (6+ years)</p><p>• Application Engine (6+ years)</p><p>• Component Interface (6+ years)</p><p>• SQR (6+ years)</p><p>• XML/BI Publisher (6+ years)</p><p>• JavaScript (6+ years)</p><p>• jQuery (6+ years)</p><p><strong>Job Benefits:</strong></p><p>• Competitive hourly rate range based on experience of approximately $110 - $135 USD</p><br /> #J-18808-Ljbffr

Requirements

• DO
• PA

Description

<div><p>Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</p><br /> <h3>About the team</h3><br /> <p>Data Science at Stripe is a vibrant community where data analysts, data scientists, and engineers learn and grow together. You'll work with some of Stripe's most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.</p><br /> <h3>What you’ll do</h3><br /> <p>In this role, you'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll also work with leaders to translate business needs into data problems. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business insights through analyses and data storytelling.</p><br /> <h3>Responsibilities</h3><br /> <ul><br /> <li>Work with Treasury Finance, Finance &amp; Strategy, Risk and Engineering to build out analytics and observability framework for Stripe's financial position</li><br /> <li>Investigate macro signals and build analytical frameworks that inform financial planning and strategic decisions</li><br /> <li>Develop targeted observability and performance analytics for both standard and event-driven environments, providing key insights to senior leadership on Stripe’s business position as macro/market conditions shift</li><br /> <li>Understand and leverage Stripe's data assets to analyze financial performance and develop scalable data foundations for existing and emerging analytical needs</li><br /> <li>Work with heterogeneous and unstructured data to develop insights and recommendations</li><br /> <li>Collaborate with data scientists and engineers to build data pipelines, models, and infrastructure that serve business needs</li><br /> <li>Support ongoing reporting, stakeholder communications, and information requests across Treasury Finance and Finance &amp; Strategy</li><br /> </ul><br /> <h3>Who you are</h3><br /> <p>We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.</p><br /> <ul><br /> <li>Must be located in New York or willing to relocate as this role is hybrid</li><br /> <li>3–6 years of experience in Data Research &amp; Analysis, Risk Modeling &amp; Analysis roles, Business Intelligence and Data Engineering, building data pipelines and analyzing large datasets to solve problems</li><br /> <li>Proficiency in SQL and Python</li><br /> <li>Strong statistical knowledge and business intuition</li><br /> <li>Ability to clearly communicate results and drive impact</li><br /> <li>Experience in analytics in FinTech, banking, investment management, corporate finance, treasury, or financial services</li><br /> <li>Expertise in visualization and using data insights to make recommendations and achieve goals</li><br /> <li>Proven ability to manage and deliver on multiple concurrent projects with strong attention to detail</li><br /> <li>Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights</li><br /> <li>Proficiency with AI tools to accelerate model development, analysis, and coding</li><br /> </ul><br /> <h3>Preferred qualifications</h3><br /> <ul><br /> <li>Master's degree in Mathematics, Statistics, Economics, Engineering, or a related technical field</li><br /> <li>Prior experience at a growth-stage internet or FinTech company</li><br /> <li>Prior experience in macro analytics, corporate finance, financial planning, and portfolio management</li><br /> <li>Familiarity with financial and accounting data, time-series data, macroeconomic analysis or economic indicator development</li><br /> <li>Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines</li><br /> <li>Good understanding of development processes and best practices like engineering standards, code reviews, and testing</li><br /> </ul><br /> <p>Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in‑office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in‑person collaboration and learning from each other, while supporting flexibility when possible.</p><br /> <p>The annual US base salary range for this role is $134,000 - $242,400. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.</p><br /> <p>Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.</p><br /> <h3>Office locations</h3><br /> <p>New York, South San Francisco HQ, or Seattle</p></div><br /> #J-18808-Ljbffr

Requirements

• RN
• DO
• NP
• PA

Benefits

• Dental
• Vision
• Wellness

Description

<div><p>EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 40,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America (Mexico City and Bogota), Australia and South Africa.</p><br /> <ul><br /> <li>Play a crucial role in implementing, improving and maintaining SQL/SAS and Power BI-based solutions</li><br /> <li>Partner with product analysts, data scientists, business users, clients and others to understand their needs and come up with an end-to-end solution</li><br /> <li>Translate business requirements to actionable data tasks; design and develop scalable turn-key ETL pipelines</li><br /> <li>Strong knowledge of RDBMS &amp; Data Warehousing concepts. Hands-on experience in SQL and SAS</li><br /> <li>Create data model for BI/Analytics needs that will help the customer answer business questions for identified use case</li><br /> </ul><br /> <h3>Candidate Profile</h3><br /> <ul><br /> <li>Bachelor’s/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply</li><br /> <li>2+ Years of relevant work experience in SAS and SQL</li><br /> <li>Power BI is good to have</li><br /> <li>Working experience in the Insurance domain is good to have</li><br /> <li>Experience in working in dual shore engagement and must have experience in managing clients directly</li><br /> <li>Strong record of achievement, solid analytical ability, and a hands-on entrepreneurial approach to work</li><br /> <li>Outstanding written and verbal communication skills</li><br /> <li>Able to work in a fast-paced, continuously evolving environment and ready to take up uphill challenges</li><br /> <li>Can understand cross-cultural differences and can work with clients across the globe</li><br /> </ul><br /> <h3>What we offer</h3><br /> <ul><br /> <li>EXL Analytics offers an exciting, fast-paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world-class analytics consultants.</li><br /> <li>You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth.</li><br /> <li>Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.</li><br /> <li>We provide guidance/ coaching to every employee through our mentoring program wherein every junior-level employee is assigned a senior-level professional as an advisor.</li><br /> <li>Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.</li><br /> <li>Top-notch benefits program for our employees.</li><br /> <li>The work arrangement would be hybrid.</li><br /> </ul><br /> <p>Please note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy.</p></div><br /> #J-18808-Ljbffr

Requirements

• RN
• DO
• PA

Benefits

• Training

Description

<p>VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine.</p><p>StockStory, a newly acquired part of CNBC, is building the next generation of AI-powered equity research for individual investors. We continue operating like a startup: small team, high ownership, fast decisions, direct access to leadership, and a culture focused on building rather than managing.</p><p>At the same time, we have the backing of a large, well-capitalized public company with iconic brands, meaningful free cash flow, and a long-term commitment to investing in data, technology, and our team. That means the upside of a fast-paced builder environment without the fragility and resource constraints of a typical early-stage startup.</p><p>Our mission is to help millions of investors achieve better results in the markets. This is your chance to work at the intersection of investing, AI, and product, alongside other exceptional engineers and investors, and help define what modern equity research looks like.</p><h3>2. Applied AI Equity Research Analyst</h3><p>We're looking for a highly driven and intellectually curious equity analyst to join our team to build a new generation of AI-powered equity research.</p><p>This role is designed for investors who still want to apply and sharpen their fundamental research judgment, but who are more excited by building scalable systems than by repeating the same research process company by company, quarter after quarter. It is especially well suited to people who want to future-proof their investing career by learning how great equity analysis gets translated into software, models, and AI-enabled products.</p><p>You will be instrumental to the team that builds and operates core components of our AI equity research engine: LLM workflows that convert unstructured information into structured signals, and factor models that turn those signals into consistent, scalable outputs for individual investors.</p><p>This role sits within a small and growing, high-caliber unit where team leaders boast Hedge Fund, Private Equity, and Investment Banking experience. Team members are expected to operate with a high degree of ownership and autonomy, contributing directly to core research, product, and modeling decisions while working closely with engineering and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers.</p><h3>3. What We're Looking For:</h3><ul><li>2+ years of buy-side public markets investing experience, at a hedge fund, long-only fund, family office, or endowment fund that emphasizes long-term investment horizons and independent, fundamental analysis</li><li>Experience and interest in prompt design and context engineering for LLM-based equity research workflows, some experience programming, coding or working with data.</li><li>Experience programming, coding or working with data. You will closely collaborate with the Engineering team to design and build automated equity analysis features blending LLM-based agentic and quantamental approaches, leveraging a modern and evolving technology stack that is being actively expanded</li><li>Systemic, data driven thinker with the ability to productize fundamental research into a repeatable, systematic strategy and a desire to “build the machine that does the job”</li><li>Experience contributing to long-term investment theses for a sector or single equity supported by qualitative and quantitative factors</li><li>Ability to read financial statements, solid accounting knowledge, experience building three-statements models</li></ul><h3>4. What You'll Do:</h3><ul><li>Collaborate to convert equity research insights and conclusions into scalable AI equity research platform features that help individual investors with stock discovery, research, and selection</li><li>Design and evaluate LLM-based workflows to process unstructured data, analyze it and translate it into structured metrics and factors</li><li>Support the development and evaluation of performance of sector-based factor models using a combination of traditional fundamental research, statistical techniques, and quantitative factor design</li><li>Conduct deep research and initiate coverage on public equities across industries</li><li>Contribute to stock-picking models that surface the best opportunities to a large retail investor audience and produce structured reports supporting them</li><li>Partner with Engineering to implement pipelines (APIs, DAGs, databases), establish reproducible backtests/evaluations, and ship analysis features/capabilities</li></ul><p>At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities:</p><ul><li>Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes</li><li>Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars</li><li>Extras -- Dry cleaning, shoe shining and sneak peeks</li><li>Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City</li></ul><p>In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves.</p><p>Salary Range: $130,000-$170,000. Bonus eligible.</p><br /> #J-18808-Ljbffr

Requirements

• RN
• MSN
• DO
• PA
• MPH

Description

<p>Direct message the job poster from Hunter Bond</p><p>My leading Financial Services client are looking for a talented and motivated Application Support Engineer to work across the organisation, covering Front, Middle and Back offices. You'll wear multiple hats, covering systems used for Risk, Middle &amp; Back Office operations, Static &amp; Market data capture and distribution, and Trade Capture.</p><p>You'll get to work in a high performing team, with a supportive culture. A brilliant opportunity!</p><p><strong>The following skills / experience is required:</strong></p><ul><li>Strong Application Support background</li><li>Financial product knowledge (Rates, FX, Credit, Equity, etc)</li><li>Good SQL background</li><li>Java and/or .Net</li><li>Unix / Windows</li><li>Bloomberg, Market Data experience is desirable</li></ul><p><strong>Salary: Up to $160,000 + good bonus + package</strong></p><p><strong>Location: New York</strong></p><p>If you are interested in this Application Support Engineer position and meet the above requirements please apply immediately.</p><h3>Seniority level</h3><ul><li>Mid-Senior level</li></ul><h3>Employment type</h3><ul><li>Full-time</li></ul><h3>Job function</h3><ul><li>Information Technology, Engineering, and Project Management</li></ul><h3>Industries</h3><ul><li>Investment Management, Investment Banking, and Financial Services</li></ul><br /> #J-18808-Ljbffr

Requirements

• DO
• PA

Description

Partner with data scientists, analysts, and business stakeholders to enable clear understanding and effective use of data through well-defined datasets, documentation, and data quality standards. In this role, you will work with a wide range of data sources—including customer surveys, support tick

Requirements

• DO
• PA

Description

KPMG is currently seeking a Manager, Economic Services - Data Science  to join our. Experience building data science or LLM-based products, with a demonstrable track record of your personal contributions to the codebase. PhD in the areas of Computer Science, Mathematics, Mathematical Statistics, El

Description

Partner with data scientists, analysts, and business stakeholders to enable clear understanding and effective use of data through well-defined datasets, documentation, and data quality standards. In this role, you will work with a wide range of data sources—including customer surveys, support tick

Requirements

• DO
• PA

Description

Associate Director of Student Recruitment Job No: 498935 Work Type: Staff Full-time Department: Katz School of Science and Health Location: ...

Requirements

• PA

Description

At Franklin Templeton, the Head of Data Science will lead the development of a globally scalable, AI‑enabled data science capability within Investment Technology Solutions (ITS). Represent ITS Data Science in enterprise AI governance and model risk forums, promoting responsible AI principles such

Requirements

• RN
• PA

Description

Head of Data Science to lead the applied-research function that enhances our AI stack with measurable frameworks.

Description

Zocdoc is seeking a Principal Marketing Data Scientist to join our Analytics team in New York. We're looking for candidates with extensive experience in marketing analytics, proficiency in data analysis through SQL, Python, and R, and a passion for technology.

Requirements

• DO
• PA

Description

Responsibilities include collaborating with investment teams, designing robust data platforms, and establishing a high-performing global data science organization. This role involves leading the development of AI-enabled data science capabilities within Investment Technology Solutions to enhance inv

Requirements

• PA

Description

Strong experience working with heterogeneous data sources, including structured data, text, network/graph data, and third‑party identity signals. This role will lead the Data Science function across core identity and compliance products, including KYC, International KYC, Global Watchlist, Advanced

Requirements

• RN
• PA

Description

The Head of Data Science will lead the development of a globally scalable, AI-enabled data science capability within Investment Technology Solutions (ITS), delivering advanced analytics and machine learning solutions that directly enhance investment outcomes across asset classes. Demonstrated leader

Requirements

• RN
• PA