Product Data Analytics Senior Associate

We are seeking a talented ambitious Associate with a passion fordata analytics and machine learningto join our team of professionals driving product insights and recommendations to our front office Banking and Payments teams in Global Banking.

As an Associate within our organization you will be directly accountable for building and maintaining powerful data models andagentic (LLM-enabled) solutionsthat enable JPMorganChase global bankers to identify new opportunities for their clients and prospects and win new business. You will work across a team of business representatives product managers and data scientists to harness JPMorganChases vast internal and external data sources to design and implement advanced analytics and AI/ML modelsdelivering an always-on feed of insights and client analytics that drive increased revenues time savings and improved client outcomes. You willdesign and build solutions directly with end users and when a solution is ready to be deployed you will partner with ourdata engineering applied ML and MLOpsteams to productionize monitor and scale it.

Job responsibilities

• Maintain and enhance an existing suite of models that drive live insights and product recommendations to bankers
• Design build and maintainanalytics data products(reliable datasets attributes and metrics) that power ML models and banker-facing insights
• Create ML/SQL models from payments data to identify product usage behaviors competitor/supplier trends and key events
• Buildagentic (LLM-enabled) workflowson top of our data ecosystem to help our banking teams act on insights efficiently and consistently
• Manage product performance and model quality metrics (product adoption influenced meetings new sales and model performance over time)
• Participate in user feedback sessions to engage with the business on enhancements validate prototypes and generate new ideas
• Partner with tech engineering data engineering applied ML and MLOps teams to plan prioritize deploy and monitor models and agents into production

Required qualifications capabilities and skills

• Advanced SQL and/or Python skills with experience launching analytics and/or AI/ML models and features into production
• Experience working with AWS platform/programming tools such as Databricks (or similar distributed data processing platforms)
• Experience with feature engineering model evaluation and production monitoring (e.g. drift performance and data quality)
• Familiarity with LLM/RAG patterns and agentic workflows including practical evaluation approaches
• Experience in financial services big data technology or relevant start up environment
• Bachelors or masters degree in business/data analytics math statistics engineering or a related field
• Business acumen to effectively work with non-technical business partners and leaders; ability to translate business needs into data/ML solutions