Modeling Centre of Excellence: Forecasting_ Analyst

Testing Site - JPMC; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

J.P. Morgan in Mumbai invites applications for a Quant Analyst to design, engineer, and industrialize the CIB Quantitative Framework for planning and forecasting. You will support senior management with ad hoc analyses and strategic initiatives from the Mumbai team.

The role involves coding in R and Python, building predictive models, and ensuring governance and controls across model deployment. Collaboration with global teams and stakeholders is essential.

Qualifications

• Experience with R and Python statistics, analytical and ML libraries.
• Strong grasp of probability theory, statistics and ML concepts.
• Attention to detail and ability to work to high standards.
• Strong quantitative and analytical skills.
• Excellent written and verbal communication for non-technical stakeholders.
• Ideal candidates have finance/actuaries/derivatives exposure from reputed universities.
• Solid knowledge of Banking, Equities, FX, Rates, Fixed Income or Commodities.

Responsibilities

• Perform in-depth data analysis using statistical and ML modeling techniques (regression, decision trees, ECM, neural networks, regime switching).
• Code the entire statistical methodology in R and Python.
• Translate business needs into quantitative analyses and tools; communicate results to senior stakeholders.
• Collaborate with peers across CIB and Global Treasury to drive insights.
• Develop metrics and model prototypes to support business decisions.
• Lead/ad-hoc projects for management or regulatory initiatives.
• Document tools; publish user docs; interact with Model Governance; ensure SIT/UAT and change controls.

Skills

R

Python

Statistics

Machine learning

Data analysis

Communication skills

Finance knowledge

Education

Graduate degree in quantitative field

Job description

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.

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 stakeholdersin 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