Risk Management - Gen AI Lead Data Scientist

Applied AI Lead Data Scientist

Join us to transform wholesale credit risk with cutting-edge AI solutions that have real impact. This role offers the chance to work with advanced machine learning and generative AI technologies in a fast-paced environment. You will collaborate closely with diverse teams to bring innovative ideas from concept to production. Your work will directly strengthen risk management and decision-making across the firm. If you enjoy building reliable, high-impact AI tools, this opportunity offers both scope and visibility.

As an Applied AI Lead Data Scientist within Wholesale Credit Risk Quantitative Research, you will design and deliver generative AI and agentic solutions, including LLM-powered agents, multi-agent orchestration, reasoning loops, and retrieval-augmented systems that transform the end-to-end wholesale credit risk process. Additionally, you will work closely with cross-functional partners, you will translate business needs into scalable, production-ready capabilities, build model-agnostic agent harnesses that combine persistent memory, tool use, and context management and uphold rigorous standards for performance, safety, and reliability across the full model lifecycle.

Job responsibilities

• Develop and implement applied AI and machine learning solutions — spanning generative AI, agentic workflows, and traditional ML — that address core wholesale credit risk challenges.
• Build LLM-powered agents and multi-agent systems with capabilities such as planning, parallel sub-task execution, entity resolution, and human-in-the-loop escalation.
• Design context management strategies — including retrieval, isolation, compaction, and offloading — to maintain quality across long-running analyses.
• Partner with cross-functional teams to translate business requirements into technical designs and concrete deliverables.
• Lead solution delivery across the full lifecycle, evolving capabilities from POC to autonomous skill execution.
• Build verification and validation loops that check agent outputs against business rules before delivery.
• Prepare and present clear, stakeholder-ready materials covering objectives, methodology, results, and limitations.
• Monitor deployed solutions and continuously evaluate model performance, stability, and drift through regression testing and evaluation datasets.

• Required qualifications, capabilities, and skills

• Advanced degree in data science, computer science, engineering, mathematics, or statistics.
• Minimum 5 years of experience in applied artificial intelligence and machine learning.
• Strong practical understanding of machine learning methods and model development.
• Proficiency in Python (including modern scientific computing workflows).
• Hands-on experience with at least one deep learning framework (TensorFlow, Keras, or PyTorch).
• Experience working with large-scale data using tools such as Spark.
• Proficiency in SQL for data extraction and analysis.
• Strong problem-solving skills with the ability to break down ambiguous business problems.
• Strong written and verbal communication skills, including explaining technical concepts to non-technical audiences.
• Strong collaboration skills and ability to deliver in a cross-functional environment.

• Preferred qualifications, capabilities, and skills

• Expertise in natural language processing and large language model techniques.
• Experience implementing models in production and supporting post-deployment monitoring.
• Cloud experience (for example, building or deploying solutions in cloud environments).
• Background in financial services and familiarity with credit risk concepts.
• Experience building solutions influenced by macroeconomic signals and fast-changing external events.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.