Senior Quantitative Developer Build Impactful Data Platform

Arrowstreet Capital, Limited Partnership; Boston (MA); On-site; USD 170,000 - 325,000; Full time

Job summary

Arrowstreet Capital, a Boston‑based systematic investment firm, seeks an experienced Quantitative Developer to join its Research group. You will build a next‑generation data platform, write Python libraries, and design APIs to support investment ideas and back‑testing.

The role emphasizes production‑quality Python, distributed computing, and collaboration with software engineers to deploy scalable data pipelines and feeds from third‑party sources.

Qualifications

• Degree in computer science or a related field.
• 5+ years of experience as a Quantitative Developer or similar role.
• Strong analytical and problem‑solving skills.
• Expert in Python with production‑grade code.
• Experience with data storage and distributed computing technologies.

Responsibilities

• Write and maintain Python libraries for investment research production processes.
• Design software to enhance the data science technology stack.
• Design and implement financial data APIs and numerical APIs.
• Apply cloud and distributed computing technologies.
• Implement performance improvements in data analysis and numerical programming code.
• Run POCs to evaluate new PyData libraries.
• Work with engineers to design feeds for new data sources from vendors.
• Mentor and guide junior team members in coding standards.

Skills

Python

Production-grade Python

OOP

Data structures

Numerical algorithms

Spark

Dask

HPC

Education

Undergraduate or graduate degree in computer science

Tools

S3

APIs

Python tooling

Job description

Arrowstreet Capital, a Boston‑based systematic investment firm, seeks an experienced Quantitative Developer to join its Research group. You will build a next‑generation data platform, write Python libraries, and design APIs to support investment ideas and back‑testing.

The role emphasizes production‑quality Python, distributed computing, and collaboration with software engineers to deploy scalable data pipelines and feeds from third‑party sources.