Quantitative Modeling Associate

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

JPMorganChase invites applications for a highly quantitative risk analytics role in its AWM risk analytics team in Bengaluru. You will contribute to research and enhancement of risk methodologies across market, credit, and liquidity risk, including VaR, sensitivity, and factor modeling, with a focus on accuracy and governance.

You will document models for governance, support AI/ML driven validation, and work with large datasets on big data platforms.

Qualifications

• A highly quantitative, detail oriented individual with ability to multi-task.
• Strong understanding of advanced statistics and AI/ML techniques.
• Degree in Economics, Maths/Statistics, Financial Engineering or equivalent preferred.

Responsibilities

• Contribute to research and enhancement of risk methodologies across market, credit, and liquidity risk.
• Prepare comprehensive model documentation for governance, validation, and back testing.
• Assist with AI/ML and statistical techniques used in data and analytics validation.
• Work with large datasets and onboarding using big data platforms.

Skills

Quantitative

Statistics

Analytics

Communication

Problem Solving

Education

Quantitative degree

Tools

Python

TensorFlow

Job description

What You’ll Do:

• Contribute to the research and enhancement of the risk methodology for AWM Risk Analytics. The methodology covers sensitivity, stress, VaR, factor modeling, and Lending Value pricing for investment (market), counterparty (credit), and liquidity risk.
• Prepare comprehensive model documentation for the Model Risk Governance and Review group to validate the models our team owns and uses, along with ongoing monitoring and back testing.
• Assist with continuous improvements in our adopted AI/ML and statistical technics used in our data and analytics validation process.
• Contribute to the analysis of new and large data sets and assist with their onboarding, following our best practice data model and architecture using big data platforms.

What We’re Looking For:

• A highly quantitative, technically proficient individual who is detail-oriented, able to multi-task, and work independently.
• A strong understanding of advanced statistics applied AI/ML techniques, and a practical problem-solving mindset.
• Good understanding of equity and fixed income (rates and credit) products and financial markets.
• Excellent communication skills.
• Possess in-depth knowledge of asset pricing, VaR backtesting techniques, and model performance testing is a plus.
• Knowledge in modular programming in Python, ML, and TensorFlow is a plus.
• A degree in a quantitative field (Economics, Maths/Statistics, Financial Engineering, or equivalent) is preferred.

Why Join Us?

We offer a vibrant and inclusive workplace that benefits from the perspectives and talents of our diverse team. We encourage open dialogue and professional growth. Join us and be a part of a global organization that is redefining the world of asset and wealth management. 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.