Top Tech Jobs & Startup Jobs in NYC, NY

Own the investment product marketing roadmap for J.P. Morgan Wealth Management, including positioning, messaging, go-to-market planning, content development, campaign execution, and performance measurement. Partner with investment leaders, marketing teams, advisors, Legal, and Compliance to promote solutions for affluent and high-net-worth clients. Translate market research and investment concepts into compelling client and advisor communications while driving adoption, engagement, and business growth.

Provides strategic business management support for Tax Operations and Securities Services. Responsibilities include analyzing complex data, preparing executive business reviews and presentations, tracking objectives and key results, developing communications for global events, supporting senior management decision-making, and driving cross-line transformation initiatives including the AI Book of Work. Requires strong communication, organizational, analytical, and Microsoft Office skills in a fast-paced, matrixed environment.

Leads technical partnerships from strategy and onboarding through integration launch and ongoing support. Serves as the primary technical contact, translating business needs into requirements, coordinating product and engineering teams, facilitating technical discussions, documenting implementation artifacts, and resolving partner issues. Improves integration processes through automation and standardization while managing change, risks, dependencies, security, performance, reliability, and compliance requirements.

Lead end-to-end onboarding and delivery of rewards data ingestion: define data contracts, implement quality controls, operationalize lineage/metadata, drive observability and SLAs, coordinate cross-functional engineering and analytics partners, and track metrics to improve time-to-onboard and reliability.

Lead strategy and delivery for a portfolio of HR data products. Define multi-year roadmaps, prioritize backlogs, translate business needs into requirements, and coordinate execution through launch and continuous improvement. Partner with HR, BI, AI/ML, information architecture, and data engineering teams to deliver governed, high-quality data assets. Oversee data catalogs, metadata, lineage, governance, compliance, and quality practices for talent acquisition and off-boarding data.

Support senior leaders on corporate strategy initiatives, including growth strategies, market entry, product development, partnerships, investments, and operating models. Conduct financial modeling, valuation, competitor and industry research, structured analysis, and strategic presentations. Collaborate cross-functionally, identify insights, develop recommendations, and monitor financial-services industry trends for senior executives.

Supports compensation strategy and execution through market analysis, compensation modeling, employee lifecycle activities, annual planning, regulatory support, stakeholder advisory, reporting, and process improvement. Partners with HR advisors and business leaders to deliver data-driven recommendations, maintain compensation policies and governance, monitor market trends, and improve operational efficiency through reporting and technology initiatives.

Develop and enhance quantitative models for collateral risk and lending value estimation. Conduct empirical research on market, liquidity, volatility, concentration, and idiosyncratic risks; establish performance benchmarks; curate and reconcile data; and provide insights supporting lending and product strategy. Partner with investment solutions, credit, risk, lending, technology, and model risk teams while communicating methodologies and findings to senior management and regulators.

Conduct deep AI and quantitative research for electronic trading by pre-training Transformer and time-series foundation models on large-scale market data. Develop representations, objectives, architectures, distributed training methods, evaluation protocols, and model-serving components. Fine-tune models for alpha generation, pricing, market making, execution, and risk management while studying scaling laws, transferability, robustness, data efficiency, latency, and economically meaningful trading outcomes.

Supports institutional and asset-owner clients in equity derivatives, including market updates, trade ideas, order execution, and transaction initiation. Builds client relationships, collaborates with trading and research teams, conducts market research, prepares deal materials, performs product valuation and modeling analysis, identifies new opportunities, and follows risk, legal, regulatory, and post-trade controls. Key products include flow and exotic equity derivatives, Delta One swaps, and cross-asset QIS investments.