Quantitative Research - Strategic Indices Modelling - Associate/ Vice President

Testing Site - JPMC; Mumbai; On-site; INR 1,500,000 - 5,000,000; Full time

Job summary

JPMorganChase in Mumbai is seeking an experienced Quant/Quantitative Researcher to join the QR SI team, developing sophisticated pricing models and trading strategies in a fast-paced environment. You will work with traders, structuring and technology across regions to design, build, and risk-manage tradable indices.

The role emphasizes strong mathematical modeling, software development in Python/C++, and robust risk controls within an agile, front-office trading context.

Qualifications

• PhD/MSc in Engineering, Math, Physics or CS.
• Strong programming in Python or C++.
• Advanced mathematics used in financial modeling.
• Knowledge of financial product valuation and trading strategies.
• Experience with object-oriented programming concepts.
• Excellent communication skills, both verbal and written.

Responsibilities

• Develop and maintain new and existing algorithmic trading strategies.
• Understand valuation and risk management of production trading strategies.
• Contribute to SDLC infrastructure of complex tradable strategies and build analytical tools for risk analysis and PnL investigations.
• Support OTC and electronic trading activities by explaining model behavior and PnL residuals.
• Assess the appropriateness and limitations of quantitative models and identify model risks.
• Deliver end-to-end automation and optimization of trading execution and related workflows.
• Collaborate with traders/structurers across regions to design, build and risk-manage tradable indices.

Skills

Python

C++

Advanced math

OO programming

Analytical thinking

Communication

Education

PhD/MSc in Engineering/Math/CS

Job description

Job Information

• Job Identification 210627819
• Job Category Quant Analytics
• Business Unit Commercial & Investment Bank
• Posting Date 05/16/2025, 10:27 AM
• Locations Nirlon Knowledge Park, Western Express Highway, Goregaon (East), Mumbai, IN-MH, 400063, IN
• Job Schedule Full time
• Job Shift Day

About Us

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.

Job Description

As a part of Quantitative Research, Strategic Indices business by working closely with Traders, Structuring, and Technology globally. As an Quant research, Associate/Vice president, You’ll contribute to the firm’s Strategic Indices business by working closely with Traders, Structuring, and Technology globally. As a Quant Algo Developer.

J.P. Morgan’s Global Quantitative Research Group in Mumbai was set up in 2013 as an extension of the Firm’s global quants teams around the world. It is a fast-growing team covering multiple asset classes across geographies. It provides in-depth knowledge that is behind our Investment Banking, Structuring, Sales & Trading and Research businesses around the globe. Deeply integrated with our Investment Banking business, the team facilitates deals and transactions by providing vital research and insight.

This position is a Dev/Algo Quant profile as part of the QR SI team that develops sophisticated mathematical pricing models and cutting-edge methodologies to design, value and build algorithmic trading strategies and their respective hedges. The QR SI team uses financial engineering, data analytics, statistical modeling, and portfolio optimization techniques to build Investable (tradable) Indices for use in financial products. As a global team, we partner with traders, marketers and risk managers across all products and regions, contributing to sales and client interaction, product innovation, valuation and risk management, portfolio optimization, and applying appropriate financial risk controls. We are looking for an experienced quantitative strategist to join our team in Mumbai, and work closely the trading desks to design, build, and risk manage tradable indices.

JobResponsibilities:

• Develop and maintain new and existing algorithmic trading strategies
• Understand valuation and risk management of production trading strategies
• Contribute to SDLC infrastructure of complex tradable strategies and build analytical tools for risk analysis, identify PnL deviations and other trade investigations
• Support both OTC and electronic trading activities by explaining model behavior, any PnL residuals by identifying major sources of risks in portfolio
• Assess the appropriateness and limitations of quantitative models and algorithmic strategies, identify and monitor the associated model risk
• Deliver end-to-end automation and optimization of trading execution and other related workflow
• The candidate will need to work closely with traders/structurers in Asia-Pacific and/or London and/or New York and will need to be proactive to access and learn J. P. Morgan’s highly sophisticated solutions.

Required qualifications, skills, and capabilities:

• Bears Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.
• Bears a strong programming background with proficiency in Python or C++.
• Bears an advanced mathematics used in financial modeling including topics such as calculus, numerical analysis, optimization, and statistics.
• Understanding of the mathematics involved in the valuation of financial products and trading strategies.
• Experienced with object-oriented programming concepts.
• Demonstrate exceptional analytical, quantitative, and problem-solving skill.
• Bears excellent communication skills, both verbal and written, can engage and influence partners and stakeholders; You are good at communicating concepts and ideas, also via written documentation, and you are keen to defend their validity and tailor messages to different audiences.

Preferred qualifications, skills, and capabilities:

• Experience of financial markets and familiarity with general trading concepts and terminology
• Knowledge of derivatives pricing theory, trading algorithms, and/or financial regulations.
• You are interested in market microstructures and quantitative trading within global markets.
• You understand the different types of financial risk and you can discuss in detail ways of managing these risks.
• You are interested in applying agile development practices in a front-office trading environment.l
• You have good practical knowledge of derivatives pricing and risk management of vanilla options and volatility products.
• A mindset of robust system and solution design and implementation, including diligent testing and verification practices.

About the Team

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.