Senior Quantitative Developer

Senior Quantitative Developer

We are looking for an experienced Quant Developer with Python experience to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk, and trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude, and initiative.

Our development team within Research is responsible for the tools, APIs, libraries, and software engineering techniques to support faster generation, evaluation, and productionization of investment ideas.

As a Quantitative Developer, you will help build our next-generation Research data platform leveraging open-source, cloud, and distributed computing technologies. You will work on high-impact projects that are quickly adopted and drive change across the team.

Responsibilities:

• Writing and maintaining Python libraries that support the investment research production processes.
• Designing and creating software to enhance our data science technology stack.
• Design and implement financial data APIs and numerical APIs.
• Apply cloud and distributed computing technologies.
• Implementing performance improvements in our data analysis and numerical programming code.
• Running POCs to evaluate new technologies and libraries in the PyData ecosystem.
• Working with software engineers to design feeds for new data sources from third-party vendors.
• Propose and lead implementations of major components or features in our data science platform.
• Mentor, train, and provide technical guidance to junior team members in design and coding standards.
• Other projects based on experience and interest.

Qualifications:

• An undergraduate or graduate degree from an educational institution in computer science.
• Strong analytical and problem-solving skills.
• Expert programming skills in Python, experience implementing production-grade Python code.
• Experience in OOP paradigms, data structures, and numerical algorithms.
• Data storage: RDBMS, S3, columnar databases, NoSQL databases.
• Distributed computing: Spark, Dask, or HPC.
• Ability to drive technical work.
• Understanding/interest in probability and statistics, including linear regression and time-series analysis.
• Curiosity and a willingness to learn new technologies.
• Interest in financial markets (prior experience not required).
• Excellent communication skills.
• High energy and strong work ethic.

In addition, experience with any of the following would be valuable:

• Hadoop, Spark, Kafka, and related technologies.
• Unix/Linux system tools and environment.
• Basic familiarity with unit testing, continuous integration, DevOps, containerization.
• Interactive data visualization and dashboards.
• People management experience.

Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world.

Arrowstreet Capital is an equal opportunity employment firm that values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, gender identity, genetic information, age, sexual orientation, 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 providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you need assistance or an accommodation due to a disability, contact us at .