R&A - Markets - Modeling Center of Excellence

Join this dynamic Quant profile to contribute to the Global Markets Planning & Analysis Group, with teams located in New York, London, and Mumbai, while being stationed at Corporate and Investment Banking Research & Analytics in Mumbai.

As an Associate within the Modeling Center of Excellence team, you will be working in a team of roughly 25 individuals and be responsible for the design, engineering, industrialization and support of the Quantitative Framework for the CCAR/ICAAP regulatory process, while also exploring opportunities to further leverage it into other activities such as the planning and forecast processes, ad hoc analysis for senior management and other strategic initiatives to support the businesses.

The team is based out of L&T office of J.P. Morgan in Powai, Mumbai. You will need to work closely with stakeholders in London and New York, partnering and supporting them just as a direct extension of the team sitting out of Mumbai. You will also be able to interact with JPMorgan's Quantitative Research team in Mumbai and benefit from their experience.

• Perform in-depth data analysis, using statistical and machine learning modeling techniques (regression, decision tree, ECM, neural networks, regime switching, etc.), to creatively build predictive or explanatory models
• Devise/improve models on new/existing regression models. This includes coding the entire statistical methodology in R, Python
• Translate business needs into quantitative analyses and tools; communicate complex results to senior stakeholders in a clear and precise manner
• Work independently and collaboratively to establish close partnerships with peers across the greater CIB organization and Global Treasury.
• Develop metrics and statistical model prototypes that can be used to drive business decisions.
• Lead and participate in ad-hoc projects as needed by senior management or regulatory initiatives
• Clearly document the code of the tools created; Publish and maintain clear user documentation; Write the official Model documentation and interact with the Model Governance group for review and approval; Ensure full SIT / UAT and Change controls of tools

• Experience of working on Python/R statistical, analytical and machine learning libraries.
• Experience of working on probability theory, statistics and machine learning.
• Close attention to detail and ability to work to very high standards
• Strong quantitative and analytical skills
• Strong communication skills (both written and verbal) and ability to present findings to a non-technical audience
• Candidates for these positions should be graduates/post-graduates with good academic records from esteemed universities with some exposure to finance/actuaries/accounting and/or derivatives.
• Strong knowledge of Equities, FX, Rates, Fixed Income or Commodities