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CIB QR – Quantitative Research – Custody and Fund Services – Associate/VP

Req #: 180028570
Location: New York, NY, US
Job Category: Accounting/Finance/Audit/Risk
Job Description:
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.4 trillion and operations worldwide. The Firm is a leader in investment banking; financial services for consumers and small businesses, commercial banking, financial transaction processing, asset management and private equity. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
JPMorgan Custody and Fund 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, as well as support Custody and Fund Services business agenda.
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.
The opportunity is to join our New York team as a Associate/Vice President.  
Key responsibilities include:
  • Perform large-scale analysis on our proprietary dataset
  • Communicate effectively with business
  • 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
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