JP Morgan Chase – Analyst – Wholesale Credit Risk Quantitative Research J.P. Morgan

The Corporate Institute; Mumbai; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

JPMorganChase in Mumbai seeks a Quantitative Research Analyst in Wholesale Credit Risk Modeling within Risk Management and Compliance. The role involves designing, analyzing, and delivering quantitative models for stress testing, capital planning, risk appetite, and loss reserves, using statistical techniques and machine learning when appropriate.

You will work with seasoned researchers and business partners, ensuring rigorous documentation and communication of results for internal and

Qualifications

• Degree in a quantitative field is required.
• Strong foundation in calculus, linear algebra, probability and statistics.
• Experience with large panel data and data cleaning is essential.

Responsibilities

• Design and develop loss forecasting models for regulatory purposes.
• Conduct back-testing, performance monitoring, and annual reviews of models.
• Apply statistical, econometric, and ML techniques for forecasting and Explainability.
• Handle large-scale panel datasets with data cleaning and feature engineering.
• Collaborate with Data and Technology teams to ensure robust data pipelines.
• Prepare model documentation for internal and regulatory reviews and present impacts to senior stakeholders.

Skills

Quantitative modeling

Python

C++

Data cleaning

Feature engineering

Time-series analysis

Statistics

Econometrics

Model governance

Communication

Problem solving

GLMs/Tree methods

Education

Engineering/Math/Stats degree

Quantitative field

Tools

SQL

Distributed data tools

Cloud-based workflows

Version control

HPC

Job description

Description:

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you’ll help keep the firm strong and resilient by anticipating emerging risks and applying sound judgment to solve real-world challenges for our company, customers, and communities. Our culture values curiosity, challenging the status quo, and striving to be best-in-class.

Job Summary:

As a Quantitative Research Analyst, Wholesale Credit Risk Modeling within Risk Management and Compliance, you will design, analyze, and deliver quantitative models that support wholesale credit stress testing, internal capital planning, risk appetite frameworks, and loan loss reserves under current expected credit loss standards. You will use statistical techniques and tools to build forecasting models and run back-testing and annual monitoring in line with model governance standards. You will work with experienced quantitative researchers and business partners while building both quantitative and business skills. You will contribute to clear model documentation and communication of model results for internal and regulatory reviews.

Job Responsibilities:

• Design and develop loss forecasting models for regulatory purposes.
• Conduct back-testing, performance monitoring, and annual reviews of models in line with model governance standards.
• Apply statistical and econometric techniques, and machine learning where appropriate, for forecasting, risk monitoring, and model explainability.
• Handle large-scale panel datasets, including data cleaning, filtering, and feature engineering.
• Partner with Data and Technology teams to implement models with robust data pipelines and controls.
• Prepare clear, comprehensive model documentation for internal and regulatory reviews, and support preparation of results and model impacts for senior stakeholders.

Required Qualifications, Capabilities, and Skills:

• Degree in Engineering, Financial Engineering, Computer Science, Mathematics, Sciences, Statistics, Econometrics, or another quantitative field.
• Strong background in Calculus, Linear Algebra, Probability, and Statistics.
• Theoretical and practical knowledge of statistical methods and models, including generalized linear models, time-series analysis, clustering, decision trees, and logistic regression.
• Experience handling large amounts of panel data, including data cleaning and filtering.
• Proficiency in at least one object-oriented programming language and proficiency in Python or C++, with good software practices (version control, testing, reproducibility).
• Ability to solve problems creatively in a dynamic environment, with eagerness to learn about credit risk, risk parameters, and regulatory and accounting concepts.
• Strong written and verbal communication skills.

Preferred Qualifications, Capabilities, and Skills:

• 2+ years of relevant experience.
• Knowledge of wholesale credit products and experience developing loss forecasting models for regulatory exercises.
• Knowledge of securitization and securitized products such as residential mortgage-backed securities (RMBS), asset-backed securities (ABS), and collateralized loan obligations (CLOs).
• Knowledge of bond and loan pricing, and knowledge of other financial products and asset classes, options pricing theory, or financial regulations.
• Experience with machine learning and generative AI.
• Familiarity with SQL, distributed data tools, and cloud-based workflows, or high-performance computing.
• Proven ability to build collaborative relationships with key internal partners to achieve objectives and set priorities.

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.

Location:

Mumbai.

Job Type:

PERMANENT, FULLTIME.