Nine Company Principles
Scientist-Driven, Model-First
- We bring together top mathematicians, physicists and computer scientists, and are committed to basing every investment decision on rigorous academic research and mathematical models.
- Avoid being swayed by market noise. All strategies must undergo rigorous hypothesis testing and statistical validation to ensure high stability and replicability in any market environment.
Data is King, Verifiable and Replicable
- We collect massive amounts of historical and real-time data covering global stocks, bonds, futures, foreign exchange, commodities, and other multi-asset classes, without missing any potential signals.
- Each set of strategies must pass large-scale backtesting and Monte Carlo simulation, and also undergo months or even years of testing in a live trading environment before being formally deployed.
Ultimate Risk Control, Steady Appreciation
- The risk control system monitors changes in market microstructure in real-time 24/7. Once abnormal fluctuations or risk concentrations are detected, restrictive measures are automatically triggered immediately.
- We pursue the optimal solution of "maximizing returns while minimizing drawdowns". Through dynamic position management and stop-loss mechanisms, we ensure that clients' assets remain stable even in extreme market conditions.
Continuous Innovation, Striving for Excellence
- We continuously invest in cutting-edge fields such as quantitative high-frequency trading, machine learning, natural language processing, and satellite data analysis to maintain leadership in technology and strategies.
- We regularly hold internal "hackathons", scientific research seminars, and international academic exchanges, constantly transforming the latest research results into applicable trading strategies.
Strict Confidentiality, Integrity as the Foundation
- Strategies, models, and datasets are all core assets of the company, protected by multi-level permission management, hardware encryption, and independent auditing.
- Externally, we do not boast about short-term performance; internally, we treat people with sincerity, ensuring that all employees carry out their work under strict compliance and high ethical standards.
Talent Cultivation, Win-Win Cooperation
- We provide each researcher and engineer with generous academic funding, support for international conferences, and channels for paper publication to promote their long-term development.
- Cross-departmental teams collaborate regularly to break down the barriers between academia and engineering, enabling seamless integration of algorithm research and system development, forming an innovative synergy where "1+1>2".
Customer-Oriented, Transparent and Efficient
- Although we do not disclose core algorithms, we provide institutional clients with detailed risk reports, performance analyses, and operation manuals, allowing each client to clearly understand the investment process.
- We regularly hold online/offline strategy interpretation meetings, invite clients to communicate face-to-face with researchers, answer questions in real-time, and continuously optimize services based on feedback.
Global Vision, Local Implementation
- With the New York headquarters as the R&D center, along with offices in London, Hong Kong, and the upcoming Frankfurt office, we have built a "global data collection + localized execution" network.
- We deeply explore the regulatory and cultural differences in various markets and combine the advantages of local teams to ensure that strategies operate stably in different time zones and regulatory environments.
Social Responsibility, Sustainable Development
- While pursuing performance, we pay attention to environmental protection and social impact, promoting the construction of "low-carbon data centers" and "public welfare quantitative analysis" projects.
- We support employees in participating in voluntary teaching and public welfare data research, providing the society with popularization of sustainable financial knowledge and technical support.
Core Leadership Team Members
The following individuals jointly drive the company's research and development as well
as operations in the field of global multi-asset quantitative investment.
James H. Simons
Position: Chief Executive Officer (CEO)Details: The company was founded in 1978. He served as the CEO until the end of 2009 and then became the non-executive chairman until he completely stepped down in 2021.
Peter F. Brown
Position: Chief Executive Officer (CEO)Details: Having the same background as Robert Mercer at IBM Research, he joined the company in 1993 and has been serving as the CEO since 2021, responsible for overall operation and strategic planning.
David S. Lippe
Position: Joint Chief Executive Officer (Co-CEO)Details: Having served in the quantitative research and product team for a long time, he was appointed as Co-CEO in July 2024. Together with Peter Brown, he led the company, coordinating the institutional business and the research department.
David Mitchell
Position: Head of Algorithmic TradingDetails: Overall responsible for the daily operation and strategic evolution of the trading department, supervising the execution of transactions and programmatic trading for institutional investors, private clients, and sub-advisors' investment portfolios, and as a member of the executive management committee, participating in the overall operation management and long-term strategic planning of the company.
Brian Felczak
Position: Chief Financial OfficerDetails: Brian Felczak worked at a top investment bank from 2004 to 2010, serving as a vice president-level financial manager, leading the financial due diligence and valuation model construction for IPOs and mergers and acquisitions projects. From 2010 to 2015, he held the position of Financial Director at Global Quant Fund, responsible for cross-border tax planning and multi-currency fund pool management, helping to expand the fund's asset size from several hundred million dollars to several billion dollars. Since 2015, he has served as the Chief Financial Officer of Renaissance Technologies, comprehensively coordinating the company's budget, fund allocation, and SEC reports, and driving the management asset size to increase from several billion dollars to hundreds of billions of dollars. He holds an MBA from Harvard Business School and a Bachelor's degree in Finance from the Wharton School of the University of Pennsylvania.
Henry B. Laufer
Position: Vice President and Chief ScientistDetails: Ph.D. in Mathematics from Princeton University. Joined the company in 1992. Worked at Stony Brook University from 1970 to 1980, leading the development of the Medallion Fund model and algorithms. Currently holds roles in research and on the board.