Quantitative Developer - Python & PyData Research Tools

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

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.