Quantitative Research

**JOB DESCRIPTION**
If you are passionate, curious and ready to make an impact, we are looking for you. Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls.

Job Summary

As an Associate or Vice President within the Quantitative Research, Equity team you will be responsible for providing modelling solutions to the Equity Derivatives business. Our work combines classical quant finance with modern machine learning techniques to deliver best-in-class models to the trading desk. Through the diversity of the businesses it supports and the variety of functions that it is responsible for, Quantitative Research group provides unique growth opportunities for you to develop your abilities and your career.

Job Responsibilities
- Covering Exotic products, and this by providing modelling approaches to price new payoffs understanding their risks, and rationalizing the limitations of proposed models
- Providing analysis of their behavior under market scenarios and back testing of hedging strategies
- Taking initiative and developing pricing prototypes to validate new ideas
- Implementing advanced models in our quant library and trading/risk platforms, participating in the continuous re-engineering of the platform, carrying-out testing and writing documentation
- Working closely with traders and Structurers to identify opportunities
- Leveraging advanced machine learning frameworks and proposing creative ideas to solve classic problems

Required qualifications, capabilities, and skills
- You demonstrate experience in a derivatives quant role
- You have experience in a front-office derivatives’ trading environment
- You demonstrate outstanding analytical and problem-solving skills
- You demonstrate excellent written and oral communication
- You demonstrate strong coding skills
- You have relevant qualifications and deep understanding of derivatives pricing theory and standard models

Preferred qualifications, capabilities, and skills
- You demonstrate professional Python/C++ development experience
- You have hands-on experience of Reinforcement Learning

**ABOUT US**

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

**ABOUT THE TEAM**

The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.