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Top Tech Jobs & Startup Jobs in NYC, NY
Financial Services
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.
Top Skills:
Ann/Vector SearchDatabasesDistributed SystemsEmbeddingsFeature StoresGenaiJavaLearning-To-RankLlmsLow-Latency InferenceMl ObservabilityNlpPythonScalaSemantic RetrievalSparkStreaming/Real-Time Pipelines
Financial Services
Lead credit decision-making and restructuring for stressed and distressed corporate credit exposures. Develop risk mitigation and recovery strategies, coordinate internal and external stakeholders, monitor portfolio performance, prepare valuations and reports, and provide leadership on regulatory, accounting, and crisis management activities.
Financial Services
Lead end-to-end product strategy and delivery for Business Banking AI/ML products. Drive discovery, prioritize high-value AI use cases, maintain product backlog, define success metrics, ensure risk/governance compliance, and align cross-functional teams to launch scalable, resilient, customer-focused solutions.
Top Skills:
Agentic FrameworksContext EngineeringData AnalyticsData ScienceFine-TuningLarge Language ModelsMachine LearningPromptingRetrieval-Augmented Generation (Rag)
Financial Services
Lead strategy and execution for Client360 platform and data operations. Oversee planning, delivery, risk management, and performance of data platform initiatives. Coach teams, drive process optimization, leverage analytics/AI for insights, ensure compliance, and collaborate across engineering, operations, and business stakeholders to deliver personalized client experiences.
Financial Services
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.
Top Skills:
Context LayersConversational AnalyticsCopilots/AgentsData Catalog And Metadata Management SystemsDatabricks GenieEnterprise Data PlatformsNatural-Language-To-Database-Query SystemsQuery AgentsSemantic LayersSnowflake Cortex Analyst
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Financial Services
Lead discovery and delivery of applied generative AI and automation for co-branded card products. Define vision, roadmap, and measurable outcomes; translate complex workflows into agent-enabled processes; partner with design, engineering, data, legal, risk, and operations; embed responsible AI controls; track KPIs; drive adoption through change management and continuous improvement.
Top Skills:
Automation PlatformsCloud PlatformsData AnalyticsGenerative AiWorkflow Orchestration
Financial Services
Lead lifecycle and loyalty marketing strategy for Chase Auto Lending customers, owning messaging frameworks, channel plans, and customer journeys across servicing, email, and digital. Partner with Product, Servicing, Digital, and Analytics to define success metrics, optimize communications, and deliver senior-ready insights and competitive positioning.
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Financial Services
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.
Financial Services
Execute and develop automated ETF trading strategies across FICC, price and market ETFs, analyze P&L and risk models, collaborate with sales/quant teams, and enhance trading/monitoring tools to improve automation, resiliency, and controls.
Top Skills:
Automated Trading SystemsMachine LearningStatisticsTrading/Market-Making Platforms
Financial Services
Research and analyze cryptocurrency spot and derivatives markets, produce written research for internal and external audiences, integrate crypto insights with FX strategy, challenge prevailing research, synthesize inputs into forward-looking views, and present findings to senior stakeholders and clients.
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