Boston, Massachusetts, United States
Key technologies and capabilities for this role
Common questions about this position
Required skills include expert programming in Python with pandas and numpy, expertise in OOP paradigms, data structures, and numerical algorithms, strong analytical and quantitative problem-solving skills, and understanding of probability, statistics, linear regression, and time-series analysis.
This information is not specified in the job description.
This information is not specified in the job description.
The team is collaborative, data-driven, and intellectually rigorous, maintaining a friendly, team-oriented environment that values professionalism, attitude, and initiative.
Strong candidates have an undergraduate or graduate degree in computer science with quantitative focus or vice versa, demonstrated professional or academic success (recent graduates encouraged), experience with production-grade Python in data analytics preferably in investment management, and qualities like curiosity, high energy, strong work ethic, and excellent communication skills.
Investment management for global equity strategies
Arrowstreet Capital specializes in managing global and international equity investments for institutional clients, including pension plans and foundations. Their investment strategies include long-only, alpha extension, and long/short approaches, utilizing various financial instruments like swaps and futures. The company employs quantitative methods to analyze investment signals and develop proprietary models for return, risk, and transaction costs. This structured investment process aims to create diversified equity portfolios that seek to outperform specific benchmarks by identifying opportunities across different companies, sectors, and countries. With around $100 billion in assets under management, Arrowstreet Capital serves over 200 clients across North America, Europe, and the Asia-Pacific region.