Quantitative Trading & Research - Treasury - Executive Director

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

Lead quantitative aspects of financial resource analytics, leveraging LLMs and ML for predictions and data-driven decisions. Develop statistical and ML models, automate processes, and partner with technology to build cloud-based data solutions. Requires 5+ years in ML model development and a strong understanding of ML/Stats/Math.

What you'd actually do

  1. Lead the development of statistical models for Commercial Real Estate within CIB Treasury and provide US-based support for the deposit modelling agenda as needed, including managing a team of modellers / data scientists
  2. Proactively seek opportunities to scale existing models to be increasingly data-driven, including working with business leads to develop ML/AI analytics, automate manual processes and build tools that enable the organization to make improved decisions that are model-driven / data-driven
  3. Make real-world, commercial recommendations through effective presentations to a diverse set of stakeholders
  4. Maintain models and associated documentation in line with MRGR guidelines and provide day-to-day modelling support to CIB Treasury
  5. Partnering with Technology, drive the build out of a cloud-based datalake to support analysis of large datasets

Skills

Required

  • 5+ years of developing statistical / forecast / ML models
  • Robust understanding of Machine Learning, Statistics, and Mathematics
  • Excellent communication skills (both verbal and written)
  • Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc

Nice to have

  • Experience in managing a team of modelers and data scientists
  • Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub
  • Experience in applying LLMs to solve business problems
  • Experience in working with Cloud and/or HPC environments

What the JD emphasized

  • lead all quantitative aspects
  • lead the development
  • managing a team
  • scale existing models
  • develop ML/AI analytics
  • build tools
  • model-driven / data-driven
  • 5+ years of developing statistical / forecast / ML models
  • Robust understanding of Machine Learning, Statistics, and Mathematics
  • applying them in real-world problems, from prototype to production
  • Experience in applying LLMs to solve business problems

Other signals

  • Leveraging LLMs to deliver capabilities at scales never before possible
  • developing ML applications that make business-critical predictions
  • handling vast data sets using the J.P.Morgan's Cloud capabilities
  • scale existing models to be increasingly data-driven
  • develop ML/AI analytics
  • automate manual processes
  • build tools that enable the organization to make improved decisions that are model-driven / data-driven
  • 5+ years of developing statistical / forecast / ML models
  • Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as applying them in real-world problems, from prototype to production
  • Experience in applying LLMs to solve business problems