Strategy & Analytics for Business Growth Associate

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Commercial & Investment Bank

This role focuses on using AI and LLM tools to drive business growth and strategy within a financial services context, rather than building AI models themselves. The primary output is strategic insights and recommendations for business leaders.

What you'd actually do

  1. Identify actionable global banking opportunities such as sell-side M&A, take-private situations, and IPO candidates by integrating internal client indicators with external deal activity, valuation signals, and sector dynamics
  2. Develop market and product insights by analyzing proprietary payment flows, public filings, and external data sources to uncover FX hedging, capital markets, and broader corporate finance opportunities
  3. Create market sizing, total addressable market (TAM), wallet, and share-of-wallet models to guide banker focus and inform strategic prioritization
  4. Monitor market, sector, and capital markets developments to generate timely insights that influence client engagement and product strategy
  5. Design and enhance banker coverage models, prioritization frameworks, and territory strategies to optimize resource deployment and improve revenue productivity

Skills

Required

  • 3+ years of experience with a leading management consulting firm, top-tier bank, or private equity firm with a focus on data-driven strategy and advanced analytics development
  • Demonstrated expertise in revenue-driven analytics, market sizing, TAM and wallet modeling, and capital markets data analysis
  • Strong analytical and problem-solving skills, including hands-on experience with large datasets, financial statements, public filings, and AI/LLM tools for insight generation
  • Demonstrated experience in building data models (SQL, Python, Alteryx) and visualizations (Tableau, Qlik)
  • Exceptional ability to translate complex analyses into clear, executive-level insights and actionable recommendations
  • Proven track record of partnering with and influencing senior stakeholders across banking and product organizations
  • Experience in financial services with exposure to capital markets, corporate banking, or payments.
  • Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)
  • Bachelor’s degree in computer science, Statistics, Engineering or related fields

Nice to have

  • Experience in financial services with exposure to capital markets, corporate banking, or payments.
  • Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)
  • Bachelor’s degree in computer science, Statistics, Engineering or related fields

What the JD emphasized

  • advanced analytics development
  • revenue-driven analytics
  • market sizing, TAM and wallet modeling
  • capital markets data analysis
  • large datasets
  • financial statements
  • public filings
  • AI/LLM tools for insight generation
  • building data models
  • visualizations
  • translate complex analyses into clear, executive-level insights
  • actionable recommendations
  • partnering with and influencing senior stakeholders
  • financial services
  • capital markets
  • corporate banking
  • payments
  • fundamental AI and ML techniques
  • NLP
  • time series
  • supervised learning
  • LLM