Top Tech Jobs & Startup Jobs in NYC, NY

Support execution of Kinexys (blockchain) strategy by translating priorities into plans, coordinating cross-functional stakeholders, preparing leadership presentations, performing pricing/competitive analysis, improving processes and operating models, and maintaining knowledge of digital assets and fintech trends.

Lead wholesale credit loan loss forecasting and stress-testing for commercial and investment bank portfolios. Review allowance and loan-level results, calculate PD/LGD/EAD and rating migration metrics, drive CECL and CCAR methodology, perform scenario and sensitivity analyses, and present findings to senior management while partnering with Risk, Finance, Model Risk, and Technology.

Lead end-to-end delivery of production AI/ML capabilities for payments (fraud, anomaly detection, automation, routing). Design and deploy neural/Transformer models, optimize for latency/scale/cost, define evaluation and monitoring, ensure model governance and audit readiness, collaborate with Product/Engineering/Risk, and mentor teams while communicating trade-offs to senior stakeholders.

Lead development of analytics and AI/ML solutions for the credit card business: translate business problems into analytical approaches, build and evaluate models (including generative AI), code solutions, perform exploratory analysis, communicate insights to stakeholders, and partner across teams to deliver scalable, responsible analytics products.

Lead technical design and deliver secure, scalable C#/.NET software for trading systems. Drive architecture, coding, code review, automation, resiliency, CI/CD, and adoption of AI-assisted engineering practices while mentoring teams and engaging vendors.

Lead product strategy and roadmap for 55ip wealth-management products. Collaborate with engineering, design, and research to define requirements, integrate market and usability insights, track metrics, and deliver fintech solutions with custodial integrations for financial advisors.

Lead product vision and multi-year roadmap for a real-time fraud AI/ML platform. Drive development of transformer and graph-based models, feature infrastructure, MLOps, experimentation, governance, and cross-functional delivery to reduce fraud loss while preserving customer experience.

Serve as subject-matter expert for the Wealth Plan Planning Engine algorithm; validate and debug outputs; define AI/LLM-enabled product requirements; build Excel prototypes; collaborate with product and tech partners; institutionalize algorithm documentation; apply deep wealth-planning expertise to drive roadmap and outcomes.

Manage a portfolio of large global Technology, Media & Telecom clients for Merchant Services, owning client relationships, driving revenue and margin, identifying payments optimization and cross-sell opportunities, coordinating internal teams, negotiating contracts, delivering business reviews, and representing the firm at industry events.

Lead design and delivery of large-scale recommendation, ranking, and personalization systems. Own end-to-end ML lifecycle, apply NLP/LLM and retrieval signals, use GenAI pragmatically, operationalize evaluation and monitoring, build and mentor applied science and ML engineering teams, and drive low-latency, reliable production ML services and experimentation.