We are looking for Quantitative Developer Interns to join our Research team. We a collaborative, data-driven, intellectually rigorous group responsible for proposing investment ideas, codifying these ideas into signals, and back-testing these signals in order to produce return, risk and trading cost forecasts to drive trading decisions. We work in a friendly environment and place a high value on learning, innovation, attitude and initiative.
Our Research Quantitative Development team is responsible for the tools, APIs, libraries and software development techniques to support faster generation, evaluation and productionization of investment ideas.
As a Quantitative Developer Intern, you will be immersed in our research efforts, working closely with Quant Researcher and Quant Developers to enhance our investment strategies. Our internship program combines theory and practice, providing real-world experience working in quantitative finance and technology. You will deliver high impact projects using technologies including cloud, distributed and high-performance compute, numeric computation, data visualization and APIs to solve complex problems in finance and research.
Responsibilities
Typical responsibilities include:
- Solving complex quantitative problems with Python or R
- Designing and developing tools or libraries to enhance our data science technology stack
- Performing exploratory data analysis across large complex data sets to inform investment and signal ideas
- Implementing performance improvements in our data analysis and numerical programming libraries
- Running POCs to evaluate technologies and libraries in cloud and PyData ecosystems
Qualifications
- Enrolled in an undergraduate or graduate program from an educational institution in a technical field, such as computer science or engineering, with an additional focus in data science, applied mathematics, economics. Expected degree completion within a year of the internship
- Strong analytical, quantitative, programming and problems solving skills
- Knowledge of software design paradigms, data structures, and numerical algorithms
- Understanding of probability and statistics, including linear regression and time-series analysis
- Excellent communication and collaboration skills
- Interest in financial markets (prior experience not required)
Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world.
All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law.
Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.
Top Skills
What We Do
Arrowstreet Capital is a Boston-based investment manager that provides global and international equity investment strategies and fund products to institutional investors such as pension plans, endowments, foundations, and registered/unregistered commingled investment funds.
We offer a select range of global equity investment strategies managed as long-only, alpha extension and long/short utilizing a broad range of instruments, including swaps and futures. Our investment process utilizes quantitative methods that focus on identifying and incorporating investment signals into our proprietary return, risk and transaction cost models. Our investment approach involves creating and investing in diversified equity portfolios. We utilize a structured investment process that attempts to add value relative to a client specific benchmark. This involves identifying opportunities across companies, sectors and countries by evaluating a diverse set of fundamental and market-based predictive factors. Portfolios are constructed through the use of a mean variance optimizer and proprietary risk and transaction cost models.
Arrowstreet Capital manages approximately $100 billion for over 200 client relationships in North America, the United Kingdom, Europe and the Asia-Pacific regions.
