This listing doesn't post a salary. Most similar roles pay
$139,575–$209,465.
Based on 239 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
As an Emerging Risk Strategic Analytics, Senior Associate within the Risk Management and Compliance team, you will lead the development of AI-powered risk intelligence capabilities for consumer banking. You will design and deploy LLM-driven solutions, agentic AI workflows, and automated research pipelines to monitor consumer and small business health while detecting emerging risks. Your daily work involves translating complex macroeconomic, credit, and portfolio trends into executive narratives and strategic recommendations. To succeed, you must possess expertise in Python, SQL, and machine learning frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. You will also utilize techniques such as prompt engineering and retrieval-augmented generation to build production-grade tools. The role requires navigating complex regulatory environments by ensuring all AI solutions comply with firm standards for model governance, security, and responsible AI practices while integrating diverse data sources into monitoring frameworks.
Develop and maintain risk intelligence capabilities using internal and external data to monitor consumer and small business health.
Lead the end-to-end development of Generative AI and Agentic AI solutions, including architecture design and prompt engineering.
Build automated research and reporting pipelines that synthesize structured and unstructured data into high-quality risk outputs.
Translate complex macroeconomic, credit, and portfolio trends into actionable insights and executive-ready communications for senior leadership.
Evaluate and implement new AI technologies to automate risk detection, narrative generation, and conversational analytics.
Partner with cross-functional teams to ensure all AI solutions comply with firm standards for model governance and responsible AI.
Create scalable prototypes and proof-of-concept solutions to demonstrate the value of new AI capabilities to stakeholders.
What we're looking for
Bachelor's degree in Computer Science, Data Science, Statistics, Economics, Engineering, or a related quantitative field.
3+ years of experience in data science, risk analytics, AI/ML engineering, or a related quantitative discipline in financial services or regulated industries.
Experience developing and deploying Generative AI or LLM-based solutions including prompt engineering, RAG, fine-tuning, or agent-based architectures.
Proficiency in Python and SQL with experience working with large-scale structured and unstructured datasets.
Knowledge of machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or LangChain.
Ability to translate complex analytical findings into clear executive communications for senior stakeholders.
Experience building automated data pipelines, reporting workflows, or production-scale analytical tools.
Understanding of consumer credit risk, macroeconomic indicators, and labor market dynamics.
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