JPMorgan Chase
Emerging Risk Strategic Analytics, Senior Associate
Wilmington, DE +1 · Senior · Full-time · Posted Sep 3, 2026
- Location
- Wilmington, DE
Columbus, OH - Experience
- 3+ years; no alternative stated.
- Education
- Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Engineering, or a related quantitative field.
About the job
Leads development of AI-powered risk intelligence for consumer and small business banking, detecting emerging risks and delivering insights to senior leadership.
What you'll do
- Develop and deploy LLM-driven and agentic AI solutions for risk monitoring, research, reporting, and analytics.
- Analyze credit, portfolio, labor market, and macroeconomic trends and communicate actionable findings to senior leaders.
- Partner with technology, data, risk, and governance teams to deliver scalable solutions that meet controls and responsible AI standards.
What they ask for
- 3+ years in data science, risk analytics, AI/ML engineering, or a related quantitative field in financial services or a similarly complex, regulated industry.
- Bachelor's degree in a quantitative field.
- Experience developing and deploying Generative AI or LLM-based solutions; strong Python and SQL proficiency.
- Experience with production-scale data pipelines or analytical tools, executive communications, and consumer credit or macroeconomic analytics.
Nice to have
- Master's degree or PhD in a quantitative discipline.
- Experience with agentic AI frameworks, cloud-based AI/ML platforms, or NLP applied to financial documents or news.
Tools
Python, SQL, PyTorch, TensorFlow, Hugging Face, LangChain, AWS SageMaker, Azure ML
AI focus
Leads Generative AI and agentic AI development, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, agent orchestration, automated research and reporting, narrative generation, and conversational analytics. Ensures responsible AI and model governance.
Model-written summary · the original posting is authoritative