Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will research prediction markets, protocols, and strategies while managing a sizeable portfolio. You will design and deploy algorithmic trading strategies, expand automated trading to new products and venues, report market sentiment and P&L, analyze completed trades, mitigate risk, and optimize portfolios and strategies.
Requirements
- STEM degree from a top college or university
- A consistently profitable live prediction-market trading strategy
- Excellent return on capital with a proven track record
- Prior buy-side trading firm or hedge fund experience is preferred
- Hands-on coding experience in Rust, C++, Golang, or Python
- Excellent written and spoken English
- Work on-site at the NYC office five days per week
Responsibilities
- Research prediction markets, protocols, and strategies
- Manage a sizeable portfolio
- Design and deploy algorithmic trading strategies to production
- Expand automated trading to new products and venues
- Calibrate and fine-tune trading performance
- Report daily market sentiment, risk exposure, and P&L
- Analyze trades and algorithm performance
- Implement risk mitigation measures
- Optimize portfolios and strategies
Benefits
- Semi-annual discretionary bonus
- Relocation assistance if needed
- 20 days of paid time off annually
- Unlimited sick days
- Dedicated mentors
- Fully stocked kitchen
- Team lunches and dinners
- Breakfast catering
- Social events
- Gym subsidy
- Opportunity to visit global offices
Hiring Process
2–3 rounds of coding tests, each lasting 2–3 hours.