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Corporate Finance - Data Science Execution, Vice President

Job Description

The Forecasting and Capital Solutions team is a new group within the Office of the CFO responsible for the execution of a cohesive end to end analytic strategy across the firm’s $2.5 trillion dollar balance sheet by forecasting, stress testing, and utilizing bank capital analytic tools with the goal of refining and growing JPMorgan Chase’s suite of financial management capabilities.


We are searching for individuals with demonstrated Data Science tool execution experience to work on our next generation of forecasting and analytical tooling, with skills in one of the following areas, and willingness to learn a minimum of the others:

  • Statistics, Machine Learning, and Data Science
  • Economics and Financial information
  • Tactical Development, System Architecture
  • Data Visualization, Analytical Applications, UI/UX

We work with every Line of Business, partnering with Finance, Risk and Technology teams to understand the business and user needs and collaboratively design tactical solutions.  Our partners include Retail Banking (Credit Cards, Mortgage, Auto Loans, Deposits), Investment Banking, Asset Management, and the Chief Investment Office.


More specifically, this role requires the candidate to:

  • Join a team responsible for delivering financial tools and analytics, with a focus on Big Data and Machine Learning capabilities, within an end-to-end solutions effort with a focus on best-in-class products and services
  • Implement practical tools for senior members of JPMorgan Chase & Co. utilizing core Data Science capabilities
  • Create innovative solutions and demonstrate advanced tactical analytic design skills
  • Effectively take part in projects of small, medium, and large scale while operating in a fast paced environment, with elegant delivery to clients
  • Assess and engineer client needs, help the Head of Rapid Solutions in defining and delivering solutions, recommend enhancements to controls, and ensuring continuous operations and success of forecast core services provided
  • Work closely with Line of Business and CFO clients with demonstrated professional knowledge to ensure that the work products and deliverables are of the highest caliber to ensure client satisfaction

  • At least five years of relevant industry experience and a proven track record in a related position
  • Strong proficiency in one or more programming languages, preferably Python as a main language, but a knowledge of R, C++, or JavaScript would also be beneficial
  • A demonstrated ability to frame hard, open ended questions, and find creative solutions for them by combining available capabilities
  • Knowledge of Machine Learning and some typical stacks for machine learning, e.g., scalable implementations of boosting, Tensorflow, MXNet, MLlib, scikit-learn, tooling in R's MachineLearning task view

  • Knowledge of typical big data tooling, preferably with experience in Spark, Impala
  • Experience in handling ALM/stress testing/forecasting or bank capital related projects highly desired
  • Polished communications and Data Visualization highly desirable
  • Strong sense of ownership and desire to deliver high quality tools to the highest levels of the firm
  • Ability to work collaboratively in teams across various areas of the firm and strong interpersonal skills

Req #: 180053953
Location: New York, NY US
Job Category: Accounting/Finance/Audit/Risk
Employment Type: Full Time
Potential Referral Amount: 5000 US Dollar (USD)

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