Deadline:
As soon as possible
Location(s)
France
21 Place Du Marche Saint Honore, Paris, FR-IDF, 75001
Overview
Details
Job Summary
As a 2025 Off-Cycle Intern in the Quantitative Research Analyst and Associate Program, you will join our Corporate and Investment Bank Markets team. Our Off-Cycle Program begins in Spring, Summer or Autumn, depending on your academic schedule. Our Global Markets teams develop sophisticated solutions to help clients manage risk, increase returns and solve complex financial problems. We hold leadership positions across all major financial markets worldwide. This means you'll be part of a dynamic team, helping to solve a wide range of interesting business issues and will be challenged in your work every day. Expert instructors and J.P. Morgan professionals will teach you about our history, scale, and scope of our organization today and our ambitious plans for tomorrow. We’ll teach you technical and practical skills that will help you hit the ground running.
Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as an industry leader in financial engineering, data analytics, statistical modelling and portfolio management. In partnership with traders, marketers and risk managers across all products and regions, QR contributes to sales and client interactions, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making activities.
Job responsibilities
- Develop and enhance models and algorithms, working with quants, technologists, traders, marketers, and risk managers
- Calibrate parameters for models of market evolution, optimizing the pricing of financial instruments to increase market share, or managing the risk in existing portfolios
- Work closely with trading desks to develop statistical arbitrage strategies and other quantitative trading models
- Develop and maintain sophisticated mathematical models, cutting-edge methodologies, and infrastructure to value and hedge financial transactions ranging from mainstream flow products to complex derivative deals
- Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide
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.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Candidates will be eligible for Analyst or Associate programs based on their academic experience:
- Candidates enrolled in a PhD program will be eligible for Associate level positions.
- Candidates enrolled in a Bachelor’s or Master’s program will be eligible for Analyst level positions.
- Candidates eligible for Associate programs are expected to demonstrate advanced proficiency in any programming language.
Required qualifications, capabilities and skills
- Enrolled in a Bachelor’s, Master’s or a PhD program in a relevant field such as mathematics, statistics, physics, engineering, computer science or data science/machine learning, with expected graduation date January 2024 through December 2025
- Foundational knowledge of and proficiency in one or more programming languages - Python 2,3, C++
- Analytical, quantitative and problem solving skills, as well as demonstrated research skills
- Ability to thrive in a dynamic, collaborative work environment
- Excellent interpretive skills and the ability to present findings to a non-technical audience
- Commitment towards advancing a diverse and inclusive environment, Interest in global financial markets, excellent attention to detail, and ability to handle pressure and enjoy a collaborative environment
Preferred qualifications, capabilities and skills
- Knowledge of options pricing theory, trading algorithms, or demonstrated interest in finance through coursework or prior experience
- Confidence and initiative to take on responsibility and manage your own projects
- Knowledge of machine learning / data science theory, techniques and tools
Dates
Deadline: As soon as possible
Cost/funding for participants
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
