below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$104,000–$176,100.
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
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
As a Summer Analyst in the Quantitative Trading & Research Markets team, you will join a group focused on systematic trading, financial engineering, and portfolio optimization. You will develop and maintain mathematical models, cutting-edge algorithms, and supporting infrastructure to price, hedge, and trade financial products. Your daily work involves conducting alpha research, calibrating model parameters, and optimizing pricing for instruments to support electronic trading and market-making activities. You will collaborate with traders, technologists, and risk managers to translate research into practical market applications. Required skills include proficiency in programming languages like Python or C++, along with strong analytical, quantitative, and research capabilities. You will apply machine learning and data science concepts to solve complex problems in valuation, risk management, and data-driven strategies such as statistical arbitrage.
Develop and maintain mathematical models, cutting-edge algorithms, and supporting infrastructure.
Value and hedge financial transactions across various products, including flow products and complex derivatives.
Support quantitative modeling and research to inform trading strategies and decision-making.
Translate research insights into practical market applications for trading teams.
Conduct alpha research and calibrate model parameters to optimize pricing of financial instruments.
Manage risk within existing portfolios.
Build methodologies to price, hedge, and trade financial products using data-driven strategies.
What we're looking for
Enrolled in a Bachelor’s or Master’s program in a relevant field such as mathematics, statistics, physics, engineering, computer science, data science, or machine learning.
Graduating between December 2027 and August 2028.
Attends a college or university in the United States.
Demonstrates computer programming experience in languages such as Python or C++.
Demonstrates analytical, quantitative, and problem-solving skills.
Demonstrates research skills through coursework, projects, or academic work.
Presents findings clearly to non-technical audiences through written and verbal communication.
Demonstrates knowledge of options pricing theory, trading algorithms, or machine learning concepts (preferred).
Python
C++
Java
R
SQL
MATLAB
Machine Learning
Data Science
Time-series Analysis
Optimization
Statistical Learning
Tableau
Power BI
Factor Modeling
Portfolio Construction
Python
C++
R
MATLAB
SQL
Machine Learning
AI
Quantitative Modeling
Data Science
back testing
Financial Engineering
Dimensionality Reduction
Platform Engineering