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Arrowstreet Capital, Limited Partnership Tech Stack

Quantitative investment firm building next-generation research and trading infrastructure

Financial Services Boston, MA 501–1,000 employees Founded 1999 Privately Held

Arrowstreet Capital is a Boston-based quantitative investment partnership built on systematic research and proprietary technology. The stack reveals a data-intensive operation: Python, MATLAB, Stata for research; Kafka, Flink, Kinesis for real-time streaming; Spark and Hadoop for batch processing; and a full AWS footprint (Lambda, Kubernetes, CloudFormation, CDK) underpinning infrastructure. Active projects span a next-generation research data platform, financial data APIs, and cloud cost optimization—signaling ongoing platform modernization alongside operational efficiency work. Hiring velocity is accelerating across engineering and specialized research roles, with a senior-weighted mix.

Tech Stack 53 technologies

Core StackMATLAB Python Workday AWS Apache Spark Hadoop Terraform Pulumi CloudFormation FastAPI Kafka Apache Flink C# AWS Lambda CloudWatch Angular React Ansible GitLab RAG Kubernetes Stata Culture Amp Presto AWS CDK OpenAPI Kinesis NET Core AWS Application Load Balancer AWS SNS+23 more

What Arrowstreet Capital, Limited Partnership Is Building

Challenges

  • Ensuring data accuracy for investment processes
  • Managing outsourced middle office performance
  • Risk management with many external parties
  • Optimizing cloud expense
  • Reducing vendor costs
  • Improving cost transparency
  • Complex investment technology projects
  • Slow generation of investment ideas
  • Performance bottlenecks in data analysis
  • Automating reporting processes

Active Projects

  • Next-generation research data platform
  • New instrument implementation
  • Implementation of new market access protocols
  • Cloud cost optimization initiative
  • Vendor contract optimization project
  • Financial analytics dashboard development
  • Fund launches
  • Financial data apis
  • Major components in data science platform
  • Design feeds for new data sources

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering
5
Finance
2
Marketing
1
Ops
1
Research
1
Security
1

Seniority

Senior
10
Junior
1
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About Arrowstreet Capital, Limited Partnership

Founded in 1999, Arrowstreet Capital operates as a private quantitative investment partnership managing portfolios through systematic, research-driven strategies. The firm employs a collaborative model across research, engineering, finance, and operations teams to develop and maintain proprietary investment processes. Infrastructure and data architecture form the operational foundation: the company manages large-scale data ingestion, transformation, and analytics pipelines serving investment teams. Active work spans research platform modernization, new market and instrument implementations, financial reporting automation, and cloud infrastructure optimization—reflecting a firm actively rebuilding internal systems and scaling technology operations.

HeadquartersBoston, MA
Company Size501–1,000 employees
Founded1999
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Arrowstreet Capital use?

Core research stack: Python, MATLAB, Stata. Data processing: Kafka, Apache Flink, Spark, Hadoop, Presto. Cloud infrastructure: AWS (Lambda, Kubernetes, CloudFormation, CDK, Kinesis, SNS, CloudWatch). Frontend: React, Angular. Infrastructure-as-code: Terraform, Pulumi, Ansible. Additional tools: FastAPI, OpenAPI, GitLab, RAG.

Where is Arrowstreet Capital headquarters?

Boston, Massachusetts. The firm is a privately held partnership founded in 1999 and employs 501–1,000 people, with current hiring focused exclusively in the United States.

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How this profile is built

Arrowstreet Capital, Limited Partnership's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.