Emerging Risk Strategic Analytics, Senior Associate

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in Wilmington, DE seeks an experienced Risk Intelligence & AI Lead to drive the development of AI-powered risk intelligence capabilities across consumer banking.

You’ll oversee architecture, prompt engineering, agent orchestration, and deployment of LLM-driven solutions while collaborating with Tech, Data, Risk, and Governance teams to ensure governance and controls. You will translate macroeconomic and credit trends into insightful, executive-ready narratives and work to

Qualifications

• 3+ years in data science, risk analytics, AI/ML engineering, or related quantitative discipline in financial services
• Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Engineering, or related field
• Experience deploying Generative AI or LLM-based solutions, incl. prompt engineering, retrieval‑augmented generation, fine‑tuning, or agent‑based architectures
• Strong proficiency in Python and SQL with experience handling large‑scale datasets
• Ability to translate analytical findings into concise executive communications and actionable recommendations
• Experience building automated data pipelines and production-grade tools
• Solid understanding of consumer credit risk, macroeconomics, labor market indicators
• Collaborating with technology, governance, and risk teams to meet enterprise controls and responsible AI standards
• Knowledge of ML frameworks and libraries (PyTorch, TensorFlow, Hugging Face, LangChain)

Responsibilities

• Develop and maintain risk intelligence capabilities using internal and external data sources and analytical tools
• Lead end-to-end Generative AI and Agentic AI capabilities for risk insights, including architecture design and deployment
• Design and maintain AI-powered solutions for automated risk detection, narrative generation, and executive reporting
• Translate complex risk and macro trends into actionable executive insights and strategic recommendations
• Evaluate and implement new AI technologies and platforms to improve efficiency and risk monitoring
• Ensure compliance with firm standards for controls, governance, and responsible AI practices
• Build and refine automated research and reporting pipelines for timely risk intelligence outputs
• Identify emergent risks by integrating alternative data and macro signals into monitoring frameworks
• Develop scalable prototypes and proofs-of-concept to demonstrate AI value and drive adoption
• Collaborate cross-functionally to define requirements and ensure AI solutions address business needs
• Stay current on LLMs, agent frameworks, and applied AI research to enhance capabilities

Skills

Data science

AI/ML engineering

Python

SQL

Communication

Production pipelines

Risk analytics

Leadership

Education

Bachelor's degree in CS or related field

Master's degree or PhD preferred

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

Job description

Job Summary

Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Risk Intelligence & AI Lead in consumer banking Risk Insights, you will own the development and evolution of AI-powered risk intelligence capabilities that monitor consumer and small business health, detect emerging risks, and deliver actionable insights to senior leadership. You will sit at the intersection of data science, Generative AI, and risk strategy — leading the design and deployment of LLM-driven solutions, agentic AI workflows, and advanced analytical tools that automate research, generate executive narratives, and enhance the speed and quality of risk decision‑making. This role offers a rare combination of strategic influence and hands‑on technical leadership. You will partner directly with Technology, Data, Risk Management, and Governance teams to build scalable, production‑grade AI solutions while ensuring full compliance with firm standards for model governance, responsible AI, and controls. You will translate complex macroeconomic, credit, and portfolio trends into clear, compelling communications for senior executives — making you a critical voice in how the consumer bank understands and responds to the world around it.

Job Responsibilities:

• Develop and maintain risk intelligence capabilities that leverage internal and external data sources, large datasets, and analytical tools to monitor consumer and small business health, credit performance, labor market conditions, and macroeconomic developments
• Lead the end-to-end development of Generative AI and Agentic AI capabilities for CCB Risk Insights, including architecture design, prompt engineering, agent orchestration, and deployment of LLM-powered solutions
• Design, build, and maintain AI-powered solutions that automate emerging risk detection, narrative generation, executive reporting, research workflows, and conversational analytics across consumer banking Risk
• Translate complex risk, economic, and portfolio trends into actionable insights, executive-ready communications, and strategic recommendations for senior leadership
• Evaluate, test, and implement new AI technologies, analytical tools, and platforms — developing scalable, repeatable capabilities that improve efficiency, insight quality, and risk monitoring effectiveness
• Partner with Technology, Data, Risk Management, and Governance teams to ensure all analytical and AI solutions comply with firm standards for controls, model governance, security, and responsible AI practices
• Build and refine automated research and reporting pipelines that synthesize structured and unstructured data into timely, high-quality risk intelligence outputs
• Identify and assess emerging risks across consumer and small business portfolios by integrating alternative data, market signals, and macroeconomic indicators into monitoring frameworks
• Develop scalable prototypes and proof‑of‑concept solutions that demonstrate the value of new AI capabilities, driving adoption and stakeholder buy‑in across the organization
• Collaborate cross-functionally with data engineering, product, and business stakeholders to define requirements, prioritize use cases, and ensure AI solutions address real business needs
• Stay current on advancements in large language models, agentic AI frameworks, and applied AI research, proactively identifying opportunities to enhance Risk Insights capabilities

Required Qualifications, Capabilities, and Skills:

• 3+ years of experience in data science, risk analytics, AI/ML engineering, or a related quantitative discipline within financial services or a similarly complex, regulated industry
• Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Engineering, or a related quantitative field
• Experience developing and deploying Generative AI or LLM-based solutions, including prompt engineering, retrieval‑augmented generation (RAG), fine‑tuning, or agent‑based architectures
• Strong proficiency in Python and SQL, with demonstrated experience working with large‑scale structured and unstructured datasets
• Proven ability to translate complex analytical findings into clear, concise executive communications and actionable recommendations for senior stakeholders
• Experience building automated data pipelines, reporting workflows, or analytical tools that operate at production scale
• Solid understanding of consumer credit risk, macroeconomic indicators, labor market dynamics, or portfolio performance analytics
• Demonstrated experience partnering with technology, governance, and risk management teams to deliver solutions that meet enterprise‑level controls, model risk management, and responsible AI standards
• Strong knowledge of machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent)
• Excellent problem‑solving skills with the ability to work independently, manage ambiguity, and drive projects from concept through production deployment
• Experience with data visualization tools and techniques for communicating risk trends and analytical outputs to non‑technical audience

Preferred Qualifications, Capabilities, and Skills:

• Master's degree or PhD in a quantitative discipline such as Computer Science, Machine Learning, Statistics, Economics, or Computational Finance
• Experience with agentic AI frameworks, multi‑agent orchestration, or autonomous workflow design
• Familiarity with JPMorganChase internal platforms, data infrastructure, and risk management frameworks
• Experience with cloud‑based AI/Machine Learning platforms (e.g., AWS SageMaker, Azure ML, or equivalent enterprise environments)
• Background in natural language processing (NLP) applied to financial documents, earnings reports, regulatory filings, or news analytics