JPMorgan Chase CIB Risk - QR Treasury Services – Vice President in New York, New York

CIB - QR Treasury Services – Executive Director/Vice President – New York

JPMorgan Treasury Services Quantitative Research team is looking for a strong data scientist to support all quantitative aspects of the business.

The objective of this new team is to help transform business practices and tools through data science.

The team is responsible for developing machine learning and other data methodologies to provide insight to both internal and external clients.

Specifically, the responsibilities of the team include new model specification, going through model approval, model implementation, as well as integration into products and production systems.


Key responsibilities include:

  • Perform large-scale analysis on our proprietary dataset

  • Identify new insights that drive feature modelling

  • Build prototype models with data pipelines that serve as roadmap to production

  • Make real-world, commercial recommendations through effective presentations to various stakeholders

  • Leverages data visualization to communicate data insights and results

  • Document and test new/existing models in partnership with control groups

  • Implementation of models in C++ and Python proprietary libraries.

  • Work closely with technology on model integration with front end applications

  • Ongoing desk support


The role requires a combination of a structured approach to problem solving, a can-do mind set to data analysis and to work in a dynamic environment. Excellent communication skills are essential in our interaction with Sales, technology, and control functions. A healthy interest in good software design principles is a requirement as well.

Key Qualifications:

  • A master’s or Ph.D. degree program in computer science, statistics, operations research or other quantitative fields

  • Strong technical skills in data manipulation, extraction and analysis

  • Fundamental understanding of statistics, optimization and machine learning methodologies

  • Mastery of software design principles and development skills using one of C++, Python, R, Java, Scala

  • Previous practical experience in solving machine learning problems using open-source packages

  • Participation in KDD/Kaggle competition or contribution to GitHub highly desirable

  • Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience

JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.