Arrowstreet Capital, Limited Partnership | Company Profile - Revenue, Headcount, Tech Stack, Contacts
Company Directory for Arrowstreet Capital, Limited Partnership
Arrowstreet Capital, Limited Partnership
Overview
Arrowstreet Capital, Limited Partnership is a Boston-based quantitative investment management firm established in 1999. The firm specializes in systematic, data-driven strategies aimed at delivering sustainable alpha for institutional investors in global equity markets. As a 100% employee-owned partnership since 2008, it manages over $270 billion in assets and serves more than 400 clients, employing over 500 people.
The firm's focus is on quantitative investing, utilizing rigorous research, data analysis, and disciplined risk management to identify market inefficiencies. Arrowstreet offers a range of global equity products, including long-only and long/short beta-neutral strategies. Its investment process is characterized by high turnover and a diverse portfolio, with significant holdings in major technology companies. The company is committed to responsible investing and integrates ESG factors into its models, reflecting its dedication to client alignment and operational excellence.
Basic Information
| Industry | financial services |
|---|---|
| Founded | 1999 |
| Revenue | $154.9M |
| Headquarters | 200 Clarendon Street, 30th Floor, Boston, MA 02116, United States |
| Languages | English |
Contact Details
- Phone: +1 617-919-0000
- Website: arrowstreetcapital.com
- LinkedIn: linkedin.com/company/arrowstreet-capital
Key Focus Areas & Initiatives
- Quantitative research
- Asset management
- Systematic strategies
- Data analysis
- Investment technology
- Quantitative trading models
- Large dataset analysis
- Portfolio management
- Investment solutions
- Alpha generation
- Investment signal transformation
- Empirical research
- Market inefficiencies
- Global markets
- High-performance computing
- Automated trading systems
- Data science in finance
- Market cycle adaptation
- Global equity markets
- Trading algorithms
- Beta neutral implementation
- Systematic portfolio construction
- Investment insight improvement
- Systematic trading
- Market inefficiency exploitation
- Quantitative investment
- Economic intuition
- Dynamic models
- Global equity focus
- Data-driven decision making
- Large-cap technology investing
- Model development
- Advanced data analysis
- Algorithmic trading
- Market anomaly detection
- Investment strategies
- Asset allocation
- Quantitative alpha engine
- Novel data sources
- Trade execution systems
- Financial reporting
- Quant research
- Model back-testing
- System development
- Big data analytics
- Data science tools
- Real-time signal processing
- Cloud computing
- Financial technology
- Long/short strategies
- Market forecasting
- Responsible investing
- Diversity and inclusion initiatives
- Client fiduciary alignment
Technologies Used
- AI
- AWS Key Management Service (KMS)
- AWS Trusted Advisor
- Amazon Associates
- Amazon CloudWatch
- Amazon EKS Anywhere
- Amazon S3
- Anaconda
- Ansible
- Azure Linux Virtual Machines
- C#
- C# (C Sharp)
- CMake
- Crystal Ball
- Docker
- DotNetNuke
- Git
- GitHub
- GitLab
- Google AdWords Conversion
- Imperva Serverless Protection
- Javascript
- Jenkins
- Kubernetes
- Lambda Cloud
- LogRhythm SIEM
- Mdt Marketing
- Microsoft 365
- Microsoft ADFS for Genesys Cloud
- Microsoft Active Directory Federation Services
- Microsoft Advanced Group Policy Management
- Microsoft Azure Monitor
- Microsoft Entra ID
- Microsoft Exchange Online
- Microsoft Intune Enterprise Application Management
- Microsoft PowerShell
- Microsoft Teams Rooms
- Microsoft Windows Server 2012
- Mode
- NinjaOne
- OneLogin
- OpenID
- Pipedrive
- Podman
- PyCharm
- Python
- R
- Remote
- SAM
- SNS
- SQL
- Salesforce
- Seismic
- SharePoint
- Sizmek (MediaMind)
- Slack
- Spark
- Terraform
- UltraDns
- Unix
- Visual Studio
- Vscode
- WP-Oauth
- Wix
- Workday
- eVestment
