Top Tech Jobs & Startup Jobs in NYC, NY

Design, implement, and document economic and financial scenarios; analyze large structured and unstructured datasets to build predictive models; develop and validate risk and pricing models; identify vulnerabilities across market, credit, and liquidity risk; collaborate with stakeholders to address data, model, and implementation issues; maintain technical documentation of model performance testing.

Lead structuring, modeling, document review, and execution of municipal commodity prepayment financings. Provide client coverage, generate solutions, collaborate with commodities, credit sales/trading, underwriting and industry coverage teams to execute debt, derivative, and public-private partnership transactions.

Lead product marketing for the Developer Experience suite: craft strategic narratives, develop content, run go-to-market strategies and campaigns, engage customers and partners for insights, partner with engineering to influence product outcomes, and measure marketing performance to drive adoption and product success.

Provide interest-rate and FX hedging solutions to corporate clients, structure and execute derivatives hedges, prepare presentations and marketing materials, prospect and onboard clients, analyze derivative pricing and financial models, and coordinate with internal trading, credit, and banking desks.

Design and implement firmwide compensation programs and policies; model financial costs; lead benchmarking and analytics; advise HCM and business leaders; drive process improvement and automation; manage year-end compensation; analyze hiring and attrition trends; mentor junior team members.

Support valuation oversight and product control for private equity and alternative investments: maintain books and records, perform illiquid valuation reviews and independent price verification, prepare valuation materials and sensitivity analyses, support month-end/quarter-end close, coordinate with cross‑functional teams, and assist with reporting and control initiatives.

Lead advanced data analytics and machine learning to monitor portfolio health, prevent fraud, build forecasting models, and identify performance improvements. Partner with business, product, technology, operations, and compliance to implement solutions, improve processes, drive strategic projects end-to-end, and present findings to executives.

Design, build, and deploy scalable GenAI/LLM-driven compliance solutions (RAG, embeddings, agentic frameworks). Lead projects, produce production-ready code, mentor engineers, collaborate with compliance and legal stakeholders, and ensure regulatory-aligned, monitored ML systems.

Lead strategy, design, and delivery of enterprise HCM AI platforms across the employee lifecycle. Define product vision and roadmap, build business cases/ROI and KPIs, drive pilots to production, manage vendors, ensure governance/privacy/compliance, and lead cross-functional teams to deliver scalable AI-enabled HCM solutions.

Build, test and support batch and streaming data pipelines and curated datasets on a modern Lakehouse and AI data platform. Work across ingestion, transformation, modelling, optimisation and data quality, contribute reusable tooling, ensure production reliability, and partner with consumers and platform teams to deliver scalable, well-governed data products for analytics and AI use cases.