Data Owner Senior Associate

Responsibilities

• Design integrated solutions using Python to ensure data is AI-ready for business needs.
• Develop and demonstrate Proof of Concepts (POCs) for both structured and unstructured data.
• Build and iterate on prototype solutions leveraging LLMs and generative AI.
• Partner with subject matter experts to optimize data assets for machine learning applications.
• Collaborate closely with Engineering and Data Science teams to productionalize POCs.
• Analyze diverse data sources to prioritize and provide actionable recommendations for sequencing.

Requirements

• Degree in a quantitative discipline such as Computer Science, Mathematics, Operations Research, or Data Science.
• 5+ years of experience in creating predictive models and generative AI solutions.
• Expertise in LLM prompt engineering and Retrieval Augmented Generation (RAG).
• Strong proficiency in Python and libraries such as Pandas, NumPy, and scikit-learn.
• Hands-on experience with LLM APIs and data manipulation.
• Proficiency in SQL and data table operations.
• Experience designing, building, and maintaining ETL data pipelines using SQL, Python, or Alteryx.
• Experience with ML evaluation metrics and building monitoring dashboards.

Benefits

• Competitive total rewards package including base salary and discretionary incentive compensation.
• Comprehensive health care coverage.
• Retirement savings plans.
• Tuition reimbursement and mental health support.
• Financial coaching and on-site health and wellness centers.

About the Company

JPMorgan Chase & Co. is a leading global financial services firm. Our Consumer & Community Banking division serves millions of customers through personal banking, credit cards, mortgages, and more. The CCB Data & Analytics team leverages data across Chase to build competitive advantages while providing value and protection for our customers.