Quantitative Engineer II
dv01Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Boston, Massachusetts, United States
Candidates should possess an undergraduate or graduate degree in computer science with a quantitative application such as mathematics and/or finance, or vice versa, demonstrating professional or academic success. Strong analytical, quantitative, and problem-solving skills are required, along with expertise in Python with pandas and numpy, and a solid understanding of probability and statistics, including linear regression and time-series analysis. Experience implementing production-grade Python code for a data analytic business, preferably in investment management, is also necessary.
As a Quantitative Developer, you will write and maintain Python and R code to support investment research production processes, design and create software to enhance the data science technology stack, perform ad-hoc exploratory statistical analysis across large datasets, implement performance improvements in data analysis code, run POCs to evaluate new technologies, work with software engineers to design data feeds, and stay up to date on the PyData ecosystem.
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.