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Asset Management Modeling - Quantitative Model Developer – Vice President

Req #: 180013956
Location: Jersey City, NJ, 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 in more than 60 countries. Asset Management (AM) provides investment and wealth management services to institutional, high net worth and retail investors and their advisors. For wealthy individuals and families, J.P. Morgan offers personalized financial solutions that integrate investment management, capital markets, trust and banking through its Global Wealth Management (GWM) division.
The AM Modeling Quantitative Model Development role will be a key member of a team responsible for developing econometric and statistical models to support business functions and regulatory requirements across the Asset Management line of business.  This role, based in New York City, is primarily focused on core modeling through the full development cycle of sophisticated econometric and statistical models. The models developed include models for the purposes of internal strategic forecasting and regulatory forecasting (CCAR, DFAST, ICAAP) across t he full spectrum of Global Investment Management and Global Wealth Management products and businesses, including Deposits (balances and rates paid), Brokerage, Assets Under Management (AUM) and their associated Management / Performance Fees, Mortgages and HELOCs, Earnings at Risk, etc. The successful candidate will have the opportunity to participate and learn from a collegial, experienced and fast-paced modeling team, be exposed to Asset Management’s full portfolio of products and businesses, access to senior leadership, and gain a strong understanding of our business fundamentals.
Roles and Responsibilities
  • Actively interact with a team of econometricians, statisticians and business experts to develop predictive models for various product offerings within Asset Management.
  • Perform on-going development, testing, and maintenance of sophisticated econometric or statistical models that meet internal and regulatory standards.
  • Analyze, validate, and benchmark the performance of various advanced quantitative models.
  • Perform data extraction, sampling, and statistical analyses.
  • Write technical model documentation along with associated visuals, outlines, and appendixes.
  • Providing insights derived from the models and modeling exercises to support business strategies
  • Designing, developing, testing, and maintaining analytic tools needed for modeling, forecasting and model performance monitoring
  • Assisting the model development team with day to day analytics, analysis, and ad hoc work
  • Analyzing model results and diagnostics to identify and recommend improvement opportunities
  • Advanced degree (PhD preferred) in Economics, Finance, or Statistics.
  • 3-5 years relevant work and/or research experience.
  • Strong coding proficiency, preferably in Python or R.
  • Strong experience with econometric modeling techniques and theory.
  • Excellent communication skills—both written and oral—with the ability to distill complex model information into clear, concise English.
  • Expertise in Microsoft Word, Excel, PowerPoint, to clearly present analytical findings.
  • Ability to work independently in a fast-paced and intellectually-demanding environment.
  • Strong analytical and creative problem solving skills with experience working with large data sets.
  • Thoroughness and attention to detail, high level of accuracy, and strong work ethic.
  • Strong collaborative, teamwork ethic.
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