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Asset & Wealth Management – Quantitative Model Developer – Associate

Req #: 170104430
Location: New York, NY, US
Job Category: Accounting/Finance/Audit/Risk
Potential Referral Amount: 3000 US Dollar (USD)
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. The Asset & Wealth Management line of business provides investment services to institutional and retail investors and their advisors, and personalized financial solutions that integrate investment management, capital markets, trusts and banking for wealthy clients.
The AWM Quantitative Model Developer 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 and Wealth Management line of business (AWM).  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 the full spectrum of Asset Management and Wealth Management products and businesses, including deposits (balances and rates paid), brokerage, institutional and retail assets under management (AUM) and their associated management and 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 quantitative research team, be exposed to Asset & Wealth 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.
  • Support ad-hoc modeling exercises and analysis.
  • Analyze, validate, and benchmark the performance of various advanced quantitative models.
  • Perform ongoing development, testing, and maintenance of econometric and statistical models that meet internal and regulatory standards.
  • Perform data extraction, exploration, sampling, and statistical analyses.
  • Assist in the drafting of technical model documentation and internal research reports.
  • Advanced degree (PhD preferred) in a quantitative discipline (e.g. Economics, Finance, Statistics)
  • Minimum 3 years relevant work or research experience.
  • Strong coding proficiency, preferably in a scientific language (e.g. Python, R, MATLAB).
  • 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.
  • 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.
  • Expertise in Microsoft Word, Excel, PowerPoint, to clearly present analytical findings.
  • Strong collaborative, teamwork ethic.
  • A strong candidate would additionally possess knowledge and experience in Machine Learning techniques.
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