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$144,500–$231,287.
Based on 240 similar postings.
Employer
About Balyasny Asset Management
Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.
Balyasny Asset Management currently has
53 open roles
on FindRole.
Listed pay typically runs
$175,000–$250,000
across 37 roles with salary data.
The Quantitative Researcher - Risk (Summer Internship) joins the Risk team to develop quantitative tools and insights that enhance the investment process. Working alongside Senior Quantitative Researchers and Risk Managers, the intern will participate in a ten-week program focused on solving real-world problems regarding portfolio risk, portfolio construction, and investment decisions. Daily responsibilities include conducting research on firm risk exposures, improving analytical frameworks, and identifying patterns within large, complex datasets. The role requires proficiency in Python for exploratory data analysis, modeling, visualization, and report generation. Candidates must possess strong knowledge of probability, statistics, and quantitative modeling. The work involves building tools to improve risk monitoring and analyzing trading decisions within the context of financial markets, factor exposures, and portfolio management.
Conduct research to deliver insights on portfolio risk exposures and investment processes.
Use Python for exploratory data analysis, modeling, visualization, and report generation.
Improve and evaluate models used to assess risk and support portfolio construction.
Analyze large, complex datasets to identify patterns and assess model performance.
Communicate actionable findings and technical subject matter to stakeholders.
Build tools and analyses to improve risk monitoring and investment decision-making.
What we're looking for
Master's student graduating between Winter 2027 and Spring/Summer 2028 in Mathematics, Statistics, Computer Science, Financial Engineering, Econometrics, Operations Research, or a related quantitative field.
Programming proficiency in Python.
Strong knowledge of probability, statistics, and quantitative modeling.
Experience working with large, complex datasets and conducting independent research in a data-driven environment.
Familiarity with financial markets, portfolio management, factor exposures, portfolio construction, or risk analytics (preferred).
Outstanding analytical skills and attention to detail.
Ability to clearly communicate complex and technical subject matter.
Pragmatic, collaborative, and results-driven approach to solving real-world investment problems.
Python
C++
R
MATLAB
SQL
Machine Learning
AI
Quantitative Modeling
Data Science
back testing
Financial Engineering
Dimensionality Reduction
Platform Engineering