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Modeling Centre of Excellence: Forecasting_ Analyst

at J.P. Morgan

JuniorNo visa sponsorshipData Science/AI/ML

Posted 6 hours ago

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Compensation: Not specified
City: Mumbai
Country: India

As an analyst in the Modeling Centre of Excellence, you will develop quantitative methodologies to support planning and forecasting for the global Commercial & Investment Bank Planning & Analysis Group. You will design, engineer, and industrialize the CIB Quantitative Framework and build predictive or explanatory models using statistical and machine learning techniques (e.g., regression, trees, neural networks). You will code methodologies in R and Python, translate business needs into analyses, and communicate findings to senior stakeholders. You will collaborate across the CIB and Global Treasury, develop metrics and prototypes to drive business decisions, and ensure proper documentation, governance, and change controls.

Location: Mumbai, Maharashtra, India

As an analyst within the Modeling Centre of Excellence team, you will be responsible in developing quantitative methodologies to support the activities of the global Commercial & Investment Bank Planning & Analysis Group (with presence in New York, London and Mumbai), sitting out of Commercial & Investment Bank Research & Analytics in Mumbai.

The incumbent will be working in a team of roughly 35 individuals and be responsible for the design, engineering, industrialization and support of the CIB Quantitative Framework for 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.

Job Responsibilities:

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
Devising/improving 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

Required qualifications, skills & capabilities:

Experience of working on R/Python statistical, analytical and machine learning libraries of 1-3 years
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
Ideal candidates for these positions would be graduates/post-graduates with good academic records from esteemed universities with exposure to finance/actuaries/accounting & derivatives
Strong knowledge of Banking, Equities, FX, Rates, Fixed Income or Commodities

We have an opportunity to impact your career in quantitative modeling and push the limits of what's possible Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

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