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.

Manage the ETF platform and prioritize technology enhancements to support US and Canada product development. Support portfolio managers on ETF processes (creation/redemption, custom baskets), lead projects for regulatory and market-structure changes, maintain primary market policies and AP agreements, ensure compliance with SEC 6c-11 and exchange listing rules, and produce quarterly management and board reports.

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 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 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 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 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 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.

Lead definition and delivery of AI data readiness: set semantic/context standards, improve metadata/lineage/data quality, build prototypes and production conversational analytics, remediate NLQ failures, partner with data product teams, and report progress via scorecards and executive updates.

Provide comprehensive, goals-based financial planning and investment advice to individuals and families; build and deepen client relationships, acquire new clients, coordinate with internal partners, promote digital adoption, and maintain required securities and insurance licenses.