Prediction Markets Trader/Market Maker

Anti Capital; New York (NY); On-site; USD 100,000 - 250,000; Full time

Benefits offered by this job

Relocation assistance

20 days PTO

Unlimited sick days

Mentors to accelerate growth

Fully stocked kitchen

Team lunches and dinners

Gym subsidy

Visit to global offices

Job summary

Anti Capital seeks a quant trader to apply mathematical methods to evaluate markets and identify opportunities. You will design and deploy algorithmic strategies, manage a sizeable live portfolio, and report on risk and P&L. The role requires hands-on coding, a STEM degree, and on-site NYC presence in a fast-paced environment.

Qualifications

• STEM degree from a top college.
• Proven profitable live trading strategy on prediction markets.
• Excellent ROC with real capital.
• Buy-side/hedge fund experience preferred.
• Hands-on coding in Rust/C++/Golang/Python.

Responsibilities

• Research prediction markets, strategies, and manage a sizeable portfolio.
• Design and deploy algorithmic trading strategies to production.
• Expand trading to new products and venues; calibrate performance.
• Report daily market sentiment, risk exposure, and P&L.
• Post-trade analysis and implement risk measures.
• Optimize portfolio and strategy performance.

Skills

Rust

C++

Golang

Python

Education

STEM degree

Job description

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 are required to be on-site at the 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
• 20 days of PTO annually
• Unlimited sick days
• Dedicated mentors to accelerate your growth
• Friendly start-up working environment
• Fully stocked kitchen
• Team lunches and dinners
• Breakfast catering
• Social events
• Gym subsidy
• Opportunity to visit our global offices

$100,000 - $250,000 a year