Post-Trade Analytics & Automation Intern

Arrowstreet Capital, Limited Partnership; Boston (MA); On-site; USD 159,000 - 228,000; Full time

Job summary

Arrowstreet Capital, Limited Partnership invites graduate students to join its Investment Processes group as an intern. You will work on code that analyzes portfolio attribution and performance, research new attribution methods, and build robust tools to automate post-trade analytics, collaborating with a team at the intersection of finance and programming.

The role emphasizes quantitative skills, clear communication of findings, and contribution to performance measurement and investment

Qualifications

• Enrolled in a graduate program in finance, mathematics, economics, or closely related discipline.
• Expected degree completion within a year of the internship.
• Demonstrated academic success.
• Experience with mathematical programming in Python or other scripting language.
• Knowledge of financial markets and asset pricing, gained through industry experience or academic study.
• Understanding of probability, statistics, linear regression, and related mathematical concepts.
• Ability to communicate findings, results, and conclusions clearly to various stakeholders.

Responsibilities

• Write and maintain code to analyze portfolio attribution and performance.
• Research and implement methods for performance attribution.
• Design and write production-quality code to automate post-trade analytics.
• Collaborate on projects to measure drivers of performance.

Skills

Python programming

Probability & statistics

Linear regression

Education

Graduate program in finance/math/economics

Expected degree completion within 1 year

Job description

Arrowstreet Capital, Limited Partnership invites graduate students to join its Investment Processes group as an intern. You will work on code that analyzes portfolio attribution and performance, research new attribution methods, and build robust tools to automate post-trade analytics, collaborating with a team at the intersection of finance and programming.

The role emphasizes quantitative skills, clear communication of findings, and contribution to performance measurement and investment