This listing doesn't post a salary. Most similar roles pay
$104,750–$213,600.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
As a Summer Associate in the Quantitative Trading & Research Markets team, you will join a modeling group focused on systematic trading, financial engineering, data analytics, statistical modeling, and portfolio optimization. You will develop and maintain mathematical models, cutting-edge algorithms, and infrastructure to price, hedge, and trade financial products while advancing algorithmic trading and data-driven strategies like statistical arbitrage. Your daily work involves conducting alpha research, calibrating model parameters, and optimizing pricing for various instruments to support market-making activities. To succeed, you must possess strong analytical and quantitative skills alongside proficiency in programming languages such as Python or C++. You will also apply machine learning and data science concepts to solve complex financial problems. The role requires collaborating with traders and risk managers to translate research insights into practical applications across diverse product lines and regions.
Develop and maintain mathematical models, algorithms, and infrastructure to price, hedge, and trade financial products.
Conduct alpha research and calibrate model parameters to optimize the pricing of financial instruments.
Perform quantitative modeling and research to inform trading strategies and decision-making.
Value and hedge a wide range of financial transactions including flow products and complex derivatives.
Manage risk within existing portfolios to ensure stability and compliance.
Translate research insights into practical market applications for use by trading teams.
Build infrastructure for automated trading systems and data-driven strategies like statistical arbitrage.
What we're looking for
Must be enrolled in a PhD program in a relevant field such as mathematics, statistics, physics, engineering, computer science, data science, or machine learning.
Must be graduating between December 2027 and August 2028.
Must attend a college or university in the United States.
Must demonstrate experience in computer programming using Python, C++, or another language.
Must possess analytical, quantitative, and problem-solving skills.
Must demonstrate research skills through coursework, projects, or academic work.
Must be able to communicate findings clearly to non-technical audiences through written and verbal communication.
Knowledge of options pricing theory, trading algorithms, machine learning, or advanced programming proficiency (preferred).
Python
C++
Java
SQL
R
MATLAB
Machine Learning
Data Science
Time-series Analysis
Optimization
Statistical Learning
Tableau
Power BI
Portfolio Construction
Quantitative Research
Python
C++
SQL
Java
Monte Carlo methods
Differential equations
Linear algebra
Applied probability
Statistics
Generative AI
Data Analysis
Modeling
Software Engineering
Data Management
Quantitative Analytics