We are a leading full-stack, high-frequency proprietary trading firm strategically located in New York and Taipei. Our company is equipped with a proprietary, latency-sensitive trading system, state-of-the-art trading algorithms, and a highly efficient execution platform designed to optimize trading strategies across various asset classes. Moreover, we maintain comprehensive access to major exchanges worldwide, allowing us to execute complex trades efficiently and at scale. This global reach, combined with our technological expertise, positions us at the forefront of the financial trading industry.
About the role:
In this role, you will apply mathematical and quantitative methods to evaluate financial products and markets, identify trading opportunities, and assess risks.
Responsibilities:
- Research prediction markets, protocols, strategies, and manage a sizeable portfolio.
- Conduct in-depth research on prediction markets.
- Design and deploy algorithmic trading strategies to the production environment.
- Expand the automated trading business to new products and venues, and calibrate and fine-tune performance.
- Provide reporting on daily market sentiment, risk exposure, and P&L.
- Conduct post-trade analysis of trading strategies and algorithm performance, implement risk mitigation measures, and take responsibility for portfolio and strategy optimization.
Who you are:
- STEM Degree from a top college or university.
- Have a quantitative trading strategy that is currently and consistently profitable on live prediction markets, such as Polymarket or Kalshi (not just in simulations or back-tests).
- Excellent Return on Capital (ROC) with a proven track record, not just back-test data.
- Candidates with prior experience at a buy-side trading firm or hedge fund are preferred.
- Must be able to do hands-on coding in any of the following languages: Rust, C++, Golang, or Python.
General requirements:
- Candidates must work in NYC office five days a week.
- Candidates should expect 2–3 rounds of coding tests, each lasting 2–3 hours.
- Excellent written and spoken English, any other languages will be a plus.
Benefits:
- Highly competitive salary
- Semi-annual discretionary bonus
- Relocation assistance if needed
- Dedicated mentors to accelerate your growth
- Fully stocked kitchen
- Unlimited sick days
- Friendly start-up working environment
- 15 days of PTO and 15 days of WFH on an accrual basis
- Team lunch/ dinner
- Gym subsidy
- Breakfast catering
- Opportunity to visit our global offices
- H-1B or Green Card sponsorship available for qualified candidates
