This listing doesn't post a salary. Most similar roles pay
$104,000–$177,900.
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 Analyst 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, quantitative, and problem-solving skills alongside proficiency in programming languages such as Python or C++. The role requires applying machine learning and data science concepts to solve complex financial problems, including managing risk in existing portfolios and translating research insights into practical applications for trading teams across various products and regions.
Develop and maintain mathematical models, algorithms, and supporting infrastructure for financial products.
Value and hedge a wide range of financial transactions including flow products and complex derivatives.
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.
Manage risk across existing portfolios to ensure stability and compliance.
Translate research insights into practical market applications for trading teams.
Build infrastructure to support algorithmic trading and data-driven strategies like statistical arbitrage.
What we're looking for
Must be 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.
Must have an expected graduation date between December 2027 and August 2028.
Must attend a college or university located in the United States.
Must demonstrate experience in computer programming using languages such as Python or C++.
Must possess strong 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 data science concepts is preferred.
Python
C++
Machine Learning
Data Science
Quantitative Modeling
Statistical Modeling
Algorithmic Trading
Financial Engineering
Portfolio Optimization
Risk Management
Options Pricing Theory
Alpha Research
Data Analytics
Python
C++
Java
SQL
R
MATLAB
Machine Learning
Data Science
Time-series Analysis
Optimization
Statistical Learning
Tableau
Power BI
Portfolio Construction
Quantitative Research