below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$105,000–$195,850.
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 Associate in the Quantitative Trading & Research Markets team, you will join a modeling group focused on systematic trading, financial engineering, and portfolio optimization. You will work with traders, technologists, and risk managers to build quantitative models, methodologies, and infrastructure to price, hedge, and trade financial products. Your daily responsibilities include conducting alpha research, calibrating model parameters, and optimizing pricing for financial instruments to support algorithmic trading and data-driven strategies like statistical arbitrage. You must demonstrate proficiency in computer programming languages such as Python or C++, along with skills in machine learning and data science. The role requires applying advanced mathematical and statistical research to solve complex problems in valuation, risk management, and electronic trading across various global financial markets.
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.
Conduct alpha research and calibrate model parameters to optimize pricing of financial instruments.
Manage risk within existing portfolios.
Translate research insights into practical market applications for trading teams.
Build methodologies to price, hedge, and trade financial products using data-driven strategies.
What we're looking for
Enrolled in a PhD 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.
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.
Attends a college or university in the United States.
Demonstrates knowledge of options pricing theory, trading algorithms, or a demonstrated interest in finance (preferred).
Applies knowledge of machine learning and data science concepts, techniques, and tools (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