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CIB - Wholesale Credit Model Frameworks - Associate/ VP - Mumbai

Req #: 180032658
Location: Mumbai, MH, IN
Job Category: Sales/Trading/Research
Potential Referral Amount: 50000 Indian Rupee (INR)

Quant Research

Wholesale Credit Model Frameworks



J.P. Morgan’s Global Quants Group in Mumbai was set up in 2013 as an extension of the Firm’s global quants teams around the world. It is a fast growing team covering multiple asset classes across geographies. It provides in-depth knowledge that is behind our Investment Banking, Structuring, Sales & Trading and Research businesses around the globe. Deeply integrated with our Investment Banking business, the team facilitates deals and transactions by providing vital research and insight.


The successful candidate will be a key member of the Core Analytics Implementation and Execution team within Wholesale Credit Quantitative Research. The team focuses on the design, implementation, delivery and support of models for the firms Wholesale Credit Stress (CCAR, ICAAP, Risk Appetite) and Loan loss reserves models. In particular, for this role, the team focuses on the development, delivery and maintenance of high performance analytics frameworks and libraries. The successful candidate will work on the evolution of our frameworks and related tools to enhance ease of integration of pricing and forecast models, improve flexibility and extendibility of the framework as well as improve scalability and performance. This will require the candidates to work with other more experienced Wholesale Credit model developers and business partners and enhance their quantitative as well as business skills.


The primary responsibilities for this role will include:

  • The successful candidate will work on the design and implementation state of the art forecast and valuation models in Wholesale Credit. She/He will be responsible for development, enhancement and support of our valuation and forecasting modeling frameworks and their delivery via our library. Focus will be on the end-to-end analytics infrastructure aspects.

  • Work with technology and the business on the implementation and integration of models into the firms delivery platforms

  • Work on designing, implementing, testing, releasing and supporting the groups analytics library

  • Work on the design and implementation of the firm’s next generation stress and risk analytics platform for Wholesale Credit alongside Technology and the Business.

  • This position will require the candidate to work with other experienced modelers and business partners to enhance quantitative as well as business skills.


Essential skills, experience, and qualifications:
  • Ph.D or MS in a numerate subject (e.g. Applied Math, Physics, Computational Biology, Engineering, Math Finance, etc)
  • Excellent quantitative programming skills in Python; C++ a plus
  • Strong quantitative problem solving skills and experience applying them to model implementations
  • Focus on functional and numerical testing through entire model development software cycle
  • Must be self-motivated, pro-active, responsible and driven to deliver
Proficient working in a Linux/UNIX environment
Desirable skills, experience, and qualifications (optional):
  • Experience implementing analytics frameworks in finance
  • Experience with improving performance of Python applications and performance profiling
  • Experience with parallel computing and/or GPU
  • Experience with Subversion, automated build/test systems, code coverage, unit testing and release processes
  • Experience implementing, integrating and deploying financial models end-to-end
  • Knowledge of Wholesale Credit, CCAR, Allowance (IFRS 9/CECL), Basel II/III regulatory capital
  • Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritizations
Ideal candidates for these positions would be a graduate/post-graduate from a premier college or institute. A computer science or mathematics background will be most suitable.
J.P. Morgan’s Global Quants Group provides a challenging work environment and excellent opportunities to learn and grow both at the Quants Group and in the Firm’s global network.
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