Investment Processes Intern: Build Automated Trading Tools

Arrowstreet Capital; Boston (MA); Sur place; USD 159 000 - 228 000; Temps partiel

Résumé du poste

Arrowstreet Capital, a Boston-based systematic investment firm, invites a graduate student to join its Investment Processes group as an intern. The role focuses on automated processes used in investment decision-making and trading, with a strong emphasis on quantitative programming and performance attribution.

The intern will write production-quality Python code, analyze portfolio attribution, explore innovative methods, and collaborate on initiatives to improve performance measurement.

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.

Responsabilités

• Writing and maintaining code to analyze portfolio attribution and performance
• Researching and implementing innovative methods for performance attribution
• Designing and writing production-quality code to build robust applications and tools to automate investment processes related to post-trade analytics
• Collaborating on projects and initiatives to measure different drivers of performance

Connaissances

Python programming

Finance knowledge

Statistical methods

Communication

Formation

Graduate student in finance/math/economics

Outils

Python

Description du poste

Arrowstreet Capital, a Boston-based systematic investment firm, invites a graduate student to join its Investment Processes group as an intern. The role focuses on automated processes used in investment decision-making and trading, with a strong emphasis on quantitative programming and performance attribution.

The intern will write production-quality Python code, analyze portfolio attribution, explore innovative methods, and collaborate on initiatives to improve performance measurement.