Culture & Philosophy
We are first and foremost a math and technology company. We are tinkerers, mathematicians, computer scientists, and engineers working as one team to solve incredibly difficult problems, and trading millions of shares a day on the world's financial markets.
We go all in on talent, rewarding creativity in a fast-paced environment where capable, motivated people thrive.
01.
Process Transparency
Clear evaluation metrics, open research sharing, and objective meritocracy where the best ideas win regardless of seniority.
02.
Intellectual Challenge
Tackle frontier problems in high-dimensional statistical learning, stochastic calculus, and sub-microsecond systems.
03.
Collaborative Culture
Ego-free environment where world-class researchers and engineers collaborate seamlessly across cross-functional teams.
Career Pathways
We hire talent at all career stages
Internships
Summer programs for undergraduate and graduate students
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Graduates
Full-time opportunities for recent graduates
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Early Career
Roles for professionals with 1-3 years experience
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Experienced
Senior positions for industry veterans
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What We Offer
We provide exceptional minds with the resources, autonomy, and support needed to produce groundbreaking research and technology.
Competitive Compensation
Uncapped performance-driven compensation packages
World-Class Infrastructure
Access to 25,000+ GPU research cluster
Market Impact
Direct impact on global market trading
Flexible Work
Autonomous work environment with flexible hours
Health & Wellness
Comprehensive health, dental & vision benefits
Continuous Learning
Conference sponsorship & professional development
Premium Workspace
State-of-the-art office spaces & amenities
Collaborative Culture
Work with world-class researchers & engineers
Interview Transparency
We value your time. Here is the strict, objective process by which we assess and onboard technical and research talent.
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Phase 1: Technical Screen
A 45-minute technical phone screen focused on fundamental algorithms, data structures, complexity analysis, and modern system components.
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Phase 2: The Take-Home Challenge
A timed, asynchronous coding challenge (focusing on data pipeline construction or quantitative math puzzles) to evaluate your practical software engineering and problem-solving capability.
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Phase 3: On-Site Design & Presentation
An interactive series of deep whiteboarding sessions, system design architecture discussions, and a quantitative research presentation with our core team.
Featured Open Roles
Explore opportunities to push the boundaries of quantitative finance and high-performance computing.
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Quantitative Researcher - Statistical Arbitrage / Machine Learning
Develop statistical and machine learning models for forecasting asset prices. Ideal candidates possess a Ph.D. or Master's in Mathematics, Physics, Computer Science, or Statistics, with strong Python/C++ skills and proven research rigor.
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Low-Latency C++ Software Engineer - Core Trading Systems
Design, build, and optimize ultra-low latency execution engines, market data feed handlers, and kernel-bypass network protocols in modern C++ (C++20/23) on bare-metal Linux servers.
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Quantitative Developer - Distributed Computing & Data Platforms
Architect petabyte-scale time-series storage, simulation backtesting engines, and cluster scheduling tools used daily by our research teams to validate predictive signals.
