Quantitative Developer

Arrowstreet Capital, Limited Partnership; Boston (MA); On-site; USD 155,000 - 260,000; Full time

Job summary

Arrowstreet Capital, a Boston-based systematic investment firm, seeks Quantitative Developers to join the Research group. You will develop Python/R code, build data science tooling, and run analyses on large datasets to support trading decisions.

The role emphasizes production-grade software, collaboration with software engineers, and exploration of new PyData libraries to improve investment research pipelines.

Qualifications

• Undergraduate or graduate degree with quantitative focus (CS/math/finance).
• Strong analytical, quantitative, problem-solving skills; excellent communication and data viz capabilities.
• Production-grade Python experience for data analytics in finance or investments; PyData ecosystem familiarity.

Responsibilities

• Write and maintain Python and R code supporting investment research workflows.
• Design software to enhance data science tech stack and data feeds from vendors.
• Perform exploratory statistical analysis on large structured and unstructured datasets.
• Improve performance in data analysis and numerical programming code.
• Run POCs to evaluate new PyData technologies and libraries.
• Stay updated on PyData ecosystem and evaluate new tools.

Skills

Python

pandas

numpy

time-series

data visualization

Education

CS/Math/Finance degree

Tools

Python

pandas

numpy

Hadoop

Spark

Kafka

SQL

Unix/Linux

DevOps

Job description

Team Overview

We are looking for Quantitative Developers 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 quantitative 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.

Responsibilities

• Writing and maintaining Python and R code that supports the investment research production processes
• Designing and creating software to enhance our data science technology stack
• Performing ad-hoc exploratory statistical analysis across multiple large complex data sets from a variety of structured and unstructured sources
• Implementing performance improvements in our data analysis and numerical programming code
• Running POCs to evaluate new technologies and libraries in the PyData ecosystem
• Staying up to date on the PyData ecosystem and evaluating new libraries and tools
• Working with software engineers to design feeds for new data sources from third‑party vendors

Qualifications

An undergraduate or graduate degree from an educational institution in computer science with a quantitative application such as mathematics and/or finance, or vice versa – a quantitative degree with a computer science application 1 - 3 years of relevant experience required Demonstrated professional or academic success Strong analytical, quantitative, and problem-solving skills Experience implementing production-grade Python code for a data analytic business, preferably in investment management Expert programming skills in Python with pandas and numpy Expertise in OOP paradigms, data structures, and numerical algorithms Understanding of 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, including data visualization High energy and strong work ethic

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

• Some experience programming in R with tidyverse packages
• High-performance computing
• Distributed computing Hadoop, Spark, Kafka, and related technologies
• SQL Unix/Linux system tools and environment
• Basic familiarity with unit testing, continuous integration, DevOps, containerization
• Interactive data visualization and dashboards

The base salary range for this position is $155,000 - $260,000 per year.

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 is an equal opportunity employer.

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.