Top Tech Jobs & Startup Jobs in NYC, NY

Lead model risk reviews for complex credit, interest rate, and equity pricing models. Assess model design, validation, performance metrics, and governance; develop benchmarks; guide model remediation; act as business liaison; and manage and mentor junior team members.

Lead strategy and execution of B2B2C workplace client acquisition and asset gathering initiatives. Define multi-year roadmaps, design user journeys, write requirements, align cross-functional stakeholders, manage governance and regulatory assessments, run pilots and rollouts, analyze data and market trends, and build high-performing teams to deliver scalable workplace wealth products.

Lead architecture, development, deployment, and scaling of advanced AI/ML solutions for credit card business. Translate business needs into technical solutions, establish MLOps and governance best practices, validate and monitor models, and build and mentor a high-performing AI/ML team while partnering across Product, Risk, Finance, Technology, and Compliance.

Lead ESG targets and commitments reporting by ensuring accuracy of ESG metrics, strengthening controls, streamlining processes, partnering with CCT, product and technology teams, and producing quarterly and annual sustainability reporting. Develop and document methodologies, manage data flows and third-party data providers, and operationalize reporting in target-state architecture while collaborating with Model Risk Governance and control managers.

Support daily P&L reporting and month-end close, provide financial analysis and reporting to desk heads and senior finance, implement controls, coordinate front/back office to resolve issues, and handle ad-hoc analytical and project tasks for product control.

Support the Product Manager for Wealth Plan Advisor Experience by identifying opportunities, conducting user research and journey mapping, defining requirements/epics/user stories, tracking product metrics, and guiding product launches to deliver scalable, resilient advisor planning tools.

Lead vision, strategy, and execution for card benefits product experiences. Own roadmap, prioritize backlog, run discovery, collaborate with design/engineering, use analytics and experimentation to improve personalization, engagement, and operational efficiency while managing risk and stakeholder communications.

Build AI/ML-driven analytics and scalable data architectures to process large transaction datasets, automate manual processes, and develop models (including sequential decision tools) that optimize balance sheet and deposit management. Lead projects end-to-end, present commercial recommendations, and collaborate with Quant Research, Treasury, CIO, Technology and CDAO stakeholders.

Design, build, and scale production-grade NLP and LLM-based solutions (search, summarization, classification, recommendations). Drive end-to-end model lifecycle: data quality, evaluation, monitoring, and stakeholder collaboration to improve operational workflows and reduce agent effort.

Lead and deliver secure, high-quality Java/Spring Boot solutions across the SDLC. Drive AI-assisted engineering adoption, improve automation and operational stability, evaluate vendor architectures, coach teams on secure/responsible AI use, and support cloud-native, observability, and event-driven designs within financial services.