Risk Management Data Scientist Associate

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 challenging the status quo and striving to be best in class.

As a Data Scientist Associate in our Data Science team you will explore pilot and implement transformative AI solutionsincluding GenAIin collaboration with Product Engineering and Lines of this pivotal role youll join a team that values experimentation delivery and continuous learning where your ideas are encouraged and operational excellence is a shared goal. You will leverage your expertise in data and advanced analytics to develop robust tools and solutions using the latest AI/ML techniques cloud technologies data mesh architectures and enterprise knowledge bases. Together we design scalable high-quality internal solutions that integrate seamlessly into business operations driving adoption and effective model management. By collaborating with business units technology partners and stakeholders we enable our AI/ML solutions to deliver real business value and become embedded into our workflows for lasting impact.

Job responsibilities

• Apply AI/ML techniquesincluding LLMs Generative AI NLP and coding assistantsto solve business problems and enhance product capabilities.
• Collaborate with product business and cross-functional teams to define project goals requirements and plans participating in stakeholder-facing communications as needed and assist in designing experiments implementing algorithms validating results and productionizing trustworthy explainable AI/ML solutions.
• Deliver projects using Agile/sprint methodologies translating business requirements into technical specifications and supporting milestone achievement.
• Write secure high-quality production code review and debug code and contribute to documentation of code repositories and technical challenges.
• Integrate advanced analytics models and applications into operational workflows to facilitate business value and adoption.
• Implement robust drift monitoring and model retraining processes to maintain accuracy and performance (ongoing performance monitoring).

Required qualifications capabilities and skills

• Bachelors or Masters degree in engineering computer science statistics mathematics or a related technical or quantitative field with a minimum 3 years of relevant work experience.
• Proven track record of deploying AI ML and advanced analytics models in a large-scale enterprise environment.
• Hands-on experience with AI/ML algorithms statistical modeling and scalable data processing pipelines.
• Proficiency with machine learning frameworks such as Tensorflow Pytorch Scikit-Learn and agentic workflows and frameworks such as LangChain LangGraph and Auto-GPT.
• Strong written and verbal communication skills with the ability to convey technical concepts and results to both technical and business audiences.
• Scientific mindset with a proven ability to innovate and work both independently and collaboratively within a team.
• Ability to thrive in a matrixed environment and build effective partnerships with colleagues at various levels and across multiple locations.