Forecasting Analyst - Quantitative Modeling and Data Analysis

Modeling Centre of Excellence: Forecasting_ Analyst

 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

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. 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.

Experience Level

Mid Level