The D. E. Shaw Group | Company Profile - Revenue, Headcount, Tech Stack, Contacts
Contact Information
Industry & Market
Company Metrics
Funding Information
Headcount Distribution
By Department
Department Breakdown
Technology Stack
Analytics & Tracking
Video & Media
Email & Communication
Keywords & Focus Areas
The D. E. Shaw Group
Overview
D. E. Shaw Group is a global investment and technology development firm founded in 1988 by David E. Shaw. Headquartered in New York City, the firm has expanded significantly, now employing over 3,000 people worldwide and managing $65 billion in assets. The company operates offices in North America, Europe, and Asia, including locations in the United States, China, England, India, Singapore, Luxembourg, and Bermuda.
The firm is recognized for its pioneering work in computational finance, utilizing advanced mathematical models and computer programs to identify market anomalies. D. E. Shaw Group employs a quantitative approach in its hedge fund strategies, which include systematic, discretionary, and hybrid investment strategies. The organization also engages in technology development, having launched initiatives like Juno Online Services and a venture studio called DESCOvery. Additionally, the company is committed to corporate responsibility, supporting various educational programs in mathematics.
Basic Information
| Industry | financial services |
|---|---|
| Founded | 1988 |
| Revenue | 625M |
| Headquarters | 375 9th Ave, New York, NY 10001-1867, United States |
| Languages | English |
| Alexa Ranking | 83745 |
Contact Details
- Phone: +1 212-478-0000
- Website: deshaw.com
- LinkedIn: linkedin.com/company/d.-e.-shaw-&-co.
Key Focus Areas & Initiatives
- global investment & technology development
- computational biology in finance
- b2b
- discretionary trading
- risk assessment
- systematic strategies
- financial infrastructure
- machine learning in trading
- financial platforms
- hybrid quantitative-discretionary strategies
- investment management
- risk evaluation
- financial algorithms
- financial systems engineering
- asset growth
- open source software
- systematic trading
- risk committee
- sustainability
- quantitative risk controls
- software development
- portfolio risk analytics
- investment tools
- scientific computing in finance
- risk mitigation
- market inefficiencies
- financial data analysis
- financial software
- investment analytics
- discretionary quantitative hybrid models
- renewable energy
- global markets
- open source trading platforms
- multi-strategy hedge funds
- market prediction
- financial analytics
- software engineering
- algorithm development
- quantitative strategies
- financial data apis
- portfolio optimization
- risk management
- scientific research in finance
- quantitative models
- computational biochemistry
- hybrid strategies
- portfolio management
- financial data science
- financial research
- alternative investments
- financial technology
- financial advisory
- quantitative investment research
- asset management
- securities and commodity contracts intermediation and brokerage
- market inefficiency detection
- scientific research
- global investment
- leadership development
- investment capabilities
- open source financial tools
- quantitative research
- high-frequency trading
- quantitative research tools
- financial data contribution
- institutional investors
- high-performance computing
- risk analytics
- market research
- investment technology
- algorithmic trading infrastructure
- computational finance
- risk controls
- market analysis
- quantitative investing
- investment process
- risk-adjusted returns
- asset allocation
- financial engineering
- asset class diversification
- data-driven investing
- financial services
- technology infrastructure
- quantitative analysis
- venture studio
- financial data management
- investment automation
- financial modeling
- private equity
- venture capital
- financial innovation
- financial systems
- financial data visualization
- discretionary investment
- investment strategies
- quantitative asset selection
- computational biochemistry applications in finance
- algorithmic model validation
- trading algorithms
- investment performance
- computational methods
- market anomaly detection
- algorithmic trading
- equity strategies
- discretionary macro
- community engagement
- diversity and inclusion
- ethics and compliance
- analytical rigor
- trading infrastructure
- financial analysis
- capital allocation
- human capital development
- social impact investing
- collaborative culture
- data-driven decision making
- fixed income strategies
- real estate investments
- macro economic analysis
- post-trade technology
- hedge fund management
- strategic partnerships
- global investing
- statistical analysis
- emerging technologies
- equity-linked strategies
- graduate recruitment
- internship programs
- cross-functional teams
- operational excellence
- sustainable development goals
- client relations
- finance
- environmental services
- renewables & environment
- information technology & services
- clean energy & technology
- finance technology
- financial consulting
- consulting
- management consulting
Technologies Used
- AI
- Android
- CallMiner Eureka
- Citrix NetScaler
- CloudFlare Hosting
- Cloudflare DNS
- Cvent
- Git
- GitHub
- Google Analytics
- Google Maps
- Google Maps (Non Paid Users)
- Google Tag Manager
- GraphQL
- Microsoft Excel
- Microsoft Office 365
- Mobile Friendly
- OneTrust Tech Risk & Compliance
- Outlook
- PostgreSQL
- Python
- React
- Remote
- SQL
- Slack
- Typekit
- Vimeo
- Workday
- iCIMS