Modeling Centre of Excellence: Forecasting_ Associate

JPMorganChase; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

JPMorganChase in Mumbai seeks an associate in the Modeling Centre of Excellence to develop quantitative methodologies for planning and analysis within the global Commercial & Investment Bank group. The role focuses on data analysis, model development, and governance, based in the Powai office and collaborating with a 35-person team.

Ideal candidates have 3–7 years of experience with R/Python, strong statistical knowledge, and effective communication to senior management.

Qualifications

• 3–7 years of experience with statistical, analytical and ML libraries (R/Python).
• Strong background in probability, statistics and ML.
• Excellent written and verbal communication for presenting to non-technical audiences.

Responsibilities

• Perform in-depth data analysis using statistical and ML techniques to build predictive or explanatory models.
• Code the statistical methodologies in R and Python.
• Translate business needs into quantitative analyses and tools; communicate complex results to senior stakeholders.

Skills

R/Python

Statistics

Machine Learning

Communication

Finance knowledge

Attention to detail

Education

Bachelor's or Master's in quantitative field

Tools

R

Python

Job description

Job Description

As an associate within the Modeling Centre of Excellence team, you will be responsible for 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 3-7 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 are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.