Jobs at JPMorganChase

Leads firmwide strategic and transformational programs focused on data management, governance, risk, and AI readiness. Responsibilities include gathering requirements, coordinating Product and Technology teams, defining roadmaps, developing business cases, overseeing program governance, managing risks, establishing PMO capabilities, standardizing project processes, reporting to executives, and coaching team members.

Leads second-line compliance and operational risk oversight for Kinexys and CIB Payments. Assesses risks associated with new products, technologies, vendors, client onboarding, blockchain, and digital assets. Develops risk frameworks, monitors regulatory changes, supports controls and process improvements, and collaborates with Compliance, Legal, Product, Audit, Finance, and other stakeholders to deliver compliant business outcomes.

Manage digital and physical design project portfolios from intake through delivery, including resourcing, capacity planning, milestones, reporting, stakeholder alignment, and issue management. Partner with design, product, engineering, and research teams to clarify scope, coordinate dependencies, improve processes, and ensure high-quality deliverables. The role requires strong project management, communication, organization, and adaptability in a fast-paced, cross-functional environment.

Leads cross-portfolio spend and lending strategies for Chase’s small business card portfolio. Defines roadmaps, evaluates profitability and risk, develops customer segment insights, designs experiments, partners with product and delivery teams, and aligns stakeholders around measurable growth, engagement, and portfolio performance outcomes.

Own and evolve platform capabilities and digital experiences for benefits discovery and engagement. Define product requirements, roadmaps, backlogs, user stories, and acceptance criteria while partnering with engineering, design, analytics, and business teams. Prioritize initiatives using customer insights, research, metrics, and competitive benchmarks. Drive automation, standardization, scalability, cross-team delivery, stakeholder alignment, and risk-aware execution across a complex organization.

Leads conduct risk management and appetite frameworks within a second-line compliance organization. Coordinates governance meetings, assessments, challenge reviews, approvals, reporting, controls testing, audits, and regulatory exams. Analyzes qualitative and quantitative data, maintains framework documentation, enhances supporting tools, partners with cross-functional stakeholders, and develops team members. Oversees quarterly Conduct Risk Appetite Assessments and manages end-to-end processes across lines of business and corporate functions.

Monitors and analyzes corporate credit products, including bonds, credit default swaps, indices, options, and loans. Identifies settlement bottlenecks, supports client inquiries, evaluates balance sheet and capital costs, and ensures accurate risk and P&L capture. Coordinates with Compliance, Market Risk, and Product Control teams, analyzes positions and client or issuer data, and supports regulatory reviews and settlement issue resolution.

Own and grow a Latin American institutional and corporate client book for electronic FICC sales across FX, Rates, Commodities, and Credit. Prospect new opportunities, expand wallet share, drive platform adoption, present pricing and performance analytics, and convert connectivity opportunities into revenue. Partner with trading, product, and technology teams to deliver pricing, algorithms, and client connectivity while managing sales pipelines, KPIs, and client relationships.

Leads technology risk and controls activities, including risk identification, assessment, reporting, governance, control testing, issue management, and regulatory compliance. Partners with technology and business stakeholders to evaluate control effectiveness, address gaps, and strengthen the organization’s risk posture. Uses and validates enterprise-authorized AI capabilities to synthesize evidence and support audit-ready reporting while maintaining data security and regulatory standards. Provides technical guidance and influences executive decision-making.

Designs and executes qualitative and quantitative market and experience research, including surveys, interviews, focus groups, ethnography, and concept testing. Analyzes research data, develops actionable recommendations, and communicates findings through reports and presentations. Manages research projects, participant panels, data quality, vendors, and stakeholder relationships while partnering with Design, Product Management, Engineering, and Research Operations to inform product strategy and customer outcomes.

Supports Private Client Advisors by processing account openings, money movements, trades, client requests, account reviews, performance reports, and wealth-planning activities. Maintains client relationships, promotes firm services, manages referrals and leads, follows Know Your Customer and risk-management procedures, completes compliance documentation, prioritizes workflows, meets deadlines, and contributes to a positive team environment.

Owns product discovery, strategy, roadmap development, customer journey optimization, and measurement for small-dollar lending products. Partners with Product Development, Risk, Design, and other teams to improve acquisition funnels, customer experience, approval rates, and origination volume. Conducts market research, creates process maps, develops measurement frameworks, and analyzes lending marketing campaigns and performance data to guide product recommendations.

Leads climate physical risk modeling and analytics initiatives within JPMorgan Chase’s Risk Management organization. Develops climate risk metrics, scenarios, and macroeconomic impact analyses; integrates physical risk data into financial risk models; coordinates data, technology, and modeling teams; delivers executive-level insights; manages stakeholders; and mentors junior staff. The role supports climate resilience, low-carbon transition planning, regulatory requirements, and innovative methodologies for assessing climate, nature, and social financial risks.

Leads the design, experimentation, productionization, and optimization of machine learning, deep learning, generative AI, LLM, and agentic systems. Develops Python-based proofs of concept and production solutions, evaluates and tunes models, integrates generative AI into ML platforms, improves system performance, and partners with product and engineering teams. Acts as an ML subject matter expert while mentoring practitioners and influencing product and technical decisions.

Owns the end-to-end lifecycle of approved investment trades, including pre-trade analysis, trade planning, execution coordination, allocation validation, exception management, and post-trade review. Partners with investment, trading, operations, and client-facing teams while maintaining risk controls, fair allocation, and best execution standards. Leads initiatives to improve portfolio implementation efficiency, overlay management, costs, workflow scalability, and client outcomes.

Develop and execute cyber threat intelligence strategies, analyze large datasets to identify threat indicators, validate AI-assisted intelligence outputs, and translate findings into actionable recommendations. The role collaborates with stakeholders, improves detection frameworks and response playbooks, supports cybersecurity operations, and communicates intelligence to senior executives. Preferred experience includes SOC or Cyber Fusion Center environments, threat intelligence frameworks, regional expertise, language skills, and collaboration with government or industry threat-sharing communities.

Leads enterprise AI governance product strategy and transformation across the AI/ML lifecycle. Owns roadmap, delivery, adoption, lifecycle governance, and measurable outcomes while translating policies and control frameworks into scalable self-service products. Partners with engineering, risk, legal, compliance, privacy, cybersecurity, data governance, and business teams to modernize legacy processes, enable responsible AI, and align executives on priorities and trade-offs.

Leads credit card acquisition analytics for U.S. consumer and small business portfolios. Manages data scientists and analysts, develops predictive models, evaluates marketing campaigns, shapes offer and targeting strategies, and translates customer and channel insights into measurable business outcomes. Partners with product and marketing leaders, communicates findings to senior stakeholders, and promotes experimentation, model governance, scalable reporting, and continuous improvement.

Designs, develops, experiments with, and productionizes machine learning, deep learning, and generative AI solutions. Builds LLM and agentic workflows, conducts model tuning and evaluation, optimizes system performance, and develops end-to-end Python solutions. Partners with product and engineering teams to integrate generative AI into scalable ML platforms and production services, with a focus on NLP, RAG, embeddings, inferencing, and MLOps.

Leads development of an enterprise Agent SDK and agentic AI platform. Designs production-grade agent capabilities, evaluation systems, model-serving workflows, retrieval-augmented generation, and tool-using agents. Writes code, optimizes performance, establishes engineering standards, and partners across product, data, platform, and application teams. Requires extensive experience building large-scale machine learning systems, cloud and Kubernetes workloads, and reliable generative AI solutions.