Top Data & Analytics Jobs in NYC, NY

Lead and establish an Analytics Production Readiness & Assurance (APRA) function to define production standards, data/metadata models, and posture visibility. Partner with product, analytics, and engineering to enforce readiness criteria, surface deviations, and drive accountable decisions. Build technical frameworks, deterministic validation methods, core metrics, and AI-enabled automation to scale oversight. Manage and develop a small technical team and embed decision capture and institutional memory for sustained production operations.

Join Aladdin Financial Engineering as a quantitative modeler to research, develop, and deploy financial and portfolio risk models. Lead model governance workstreams, collaborate with researchers and engineers globally, present analytics to stakeholders and clients, and contribute to model validation, backtesting, and production deployment.

Research, validate, and maintain investor and firm data for private markets using public sources, proprietary outreach, and AI-enabled tools. Build relationships with institutional investors, perform QA and data governance, resolve data incidents, support cross-functional projects, and contribute to process improvements and team training to ensure high data quality and operational excellence.

Lead the BIS Data & Analytics team to build and maintain data-centric stewardship capabilities, research and reporting tools, ETL/ELT pipelines, Snowflake Lake House implementations, and AI-enabled workflows (RAG, embeddings, agentic orchestration). Partner with engagement, voting analysts and broader technology teams, ensure data integrity and quality, and manage a team of engineers to improve analyst efficiency and client reporting.

The VP of Alternative Data Strategy drives sourcing, prioritisation, and implementation of alternative datasets, aligning data opportunities with investment strategies and governing data usage across teams.

Deliver performance reporting and risk metrics for private credit portfolios. Create and update client reports, analyze investment and fund performance, maintain data integrity and reporting processes, support investor requests and due diligence, and coordinate with valuation, fund accounting, operations, and investor relations teams.

Lead data domain for global portfolio risk models, owning data quality, validation, QC frameworks, and onboarding of model inputs and derived datasets. Partner with modeling, engineering, and upstream providers to ensure data accuracy, traceability, and integration into modeling workflows while driving cross-functional delivery and governance.

Lead end-to-end design, development and deployment of data warehouse and reporting solutions for public/private loan, CLO and credit trading desks. Collaborate with portfolio management, operations and finance, manage offshore teams, integrate vendor products, build monitoring tools, and enhance dashboards and data access using Microsoft BI and data platform technologies.

Build and maintain BI reporting and analytics solutions for Public & Private Loan, CLO and credit trading desks. Partner with business stakeholders to analyze processes, clean data, capture requirements (BRDs/FRDs), translate into technical BI specs, and deliver dashboards. Support ad-hoc data requests, collaborate with offshore teams, and continuously improve data access and dashboard capabilities.

Lead creation and maintenance of security and reference data across multiple asset classes, reconcile vendor feeds to internal warehouse, analyze credit agreements, resolve data discrepancies, liaise daily with vendors, risk, technology and front office, mentor junior staff, and drive process improvements for the security master and related systems.