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Senior Associate - Quant Modeling

JPMorgan Chase · Posted Oct 22

Global banking, investment, credit card, mortgage, and asset management services

Mumbai, Maharashtra, IndiaFull-timeOnsiteSenior Level5+ years₹25.0L–₹42.0L yearly<25 applicants
BankingFinancial ServicesInvestment BankingAsset ManagementCredit CardsPaymentsPublic Company
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About the role

The Firmwide Risk Function at JPMorgan Chase focuses on governance, controls, and guarding the firm from the many risks it faces, including financial rigor and risk discipline. The Portfolio Risk Modeling role sits within Consumer & Community Banking Risk Management and supports statistical development projects for risk weight calculation, risk forecasting, and model performance monitoring. The role involves designing, developing, testing, and validating statistical models, building repeatable programs for model development and reporting, and collaborating with business partners and model end-users.

What you will do

  • Design statistical models for risk weight calculation, risk forecasting, and model performance monitoring.
  • Develop statistical models and related analytics to support critical development projects.
  • Test models and supporting code to ensure accuracy and stability.
  • Validate models and monitoring approaches, including documenting model performance.
  • Perform data extraction, sampling, and statistical analyses using techniques such as logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, and panel data analysis.
  • Build efficient programs to streamline and create repeatable procedures for model development, validation, and reporting.
  • Communicate proactively with business partners and model end-users on analysis objectives, progress, and results.
  • Collaborate with partners and end-users to define and meet analysis and reporting needs.

Skills used in this role

RPythonPySparkAWSStatistical ModelingLogistic RegressionMultinomial RegressionMultivariate AnalysisDiscriminant AnalysisTime Series AnalysisPanel Data AnalysisIFRS 9CECLCCARBaselProblem SolvingCommunicationTime Management

What the employer is looking for

  • Qualified graduate with minimum of 5 years of relevant experience in statistical modeling within financial services industry
  • Proficiency in advanced analytical languages such as R, Python, PySpark, and AWS
  • Master’s or Ph.D. degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering, or Information Technology
  • Strong analytical and problem-solving skills
  • Strong organization and time management skills, with the ability to deliver high-quality results under tight deadlines
  • Strong multi-tasking skills, with demonstrated ability to manage expectations and deliver results
  • Strong communication skills

Preferred qualifications

  • Knowledge of regulatory modeling (IFRS 9 / CECL / CCAR / Basel)

Benefits and support

  • Compensation and benefits are detailed in the job posting

About JPMorgan Chase

JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.

Industry
Banking
Company size
320000+ employees
Founded
1799
Location
New York, New York, USA
Funding stage
Public Company

Leadership

JD
Jamie Dimon

Chairman and Chief Executive Officer

JB
Jeremy Barnum

Chief Financial Officer

JP
Jennifer Piepszak

Chief Operating Officer

LB
Lori Beer

Global Chief Information Officer

MC
Mary Callahan Erdoes

CEO, Asset & Wealth Management

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