Role in brief
DRW seeks a Prediction Markets Trader to develop and execute trading strategies on platforms like Polymarket and Kalshi. This role involves real-time market monitoring, quantitative modeling, and collaboration with engineering. Candidates with strong Python, statistics, and prediction market experience should apply.
About the role
This role involves real-time trading across prediction market platforms such as Polymarket and Kalshi. The work includes executing various strategies like market making, microstructure arbitrage, and statistical pairs trading. A core part of the job is to monitor active markets and respond to dynamic conditions.
The trader will develop and backtest models using historical data and machine learning techniques to estimate fair values for binary event contracts. This requires a strong foundation in quantitative methods and programming skills to build and refine these analytical tools. Success in this position means consistently identifying and capitalizing on market inefficiencies.
Collaboration with the engineering team is also a key aspect, specifically in developing low-latency infrastructure. This ensures that trading strategies can be deployed and executed efficiently. The role is suited for someone who can combine quantitative analysis with practical application in a fast-paced trading environment.
The annual base salary for this position is between $175,000 and $200,000, not including a potential discretionary bonus.
Skills that matter here
- Python: Used for programming, including data manipulation with pandas and numerical operations with NumPy, as well as for backtesting trading models.
- quantitative finance: Applied in developing and executing various trading strategies and building models for fair-value estimation.
- statistics: Essential for understanding probability, time-series analysis, and foundational for model development and backtesting.
- Bayesian methods: Utilized in statistical analysis and model building, particularly for fair-value estimation.
Who this role suits
- Someone with a strong academic background in quantitative fields like finance, statistics, or mathematics.
- A person who has demonstrated interest and hands-on experience with prediction market platforms.
- An individual who enjoys developing and testing complex models to find trading opportunities.
- A candidate who can work collaboratively with engineers to improve trading infrastructure.
From the employer
- Monitor and trade active markets in real time across Polymarket and Kalshi.
- Execute strategies including market making, microstructure arbitrage, cross-platform arbitrage, and statistical pairs/mean-reversion.
- Develop and backtest models using historical tick data and machine learning for fair-value estimation.
- Collaborate with engineering on low-latency infrastructure.
- Bachelor's or higher in Quantitative Finance, Statistics, Computer Science, Economics, Mathematics, or equivalent.
- Strong programming skills: Python (pandas, NumPy, backtesting).
- Solid foundation in probability, statistics, time-series analysis, and Bayesian methods.
- Hands-on experience with prediction market platforms (Polymarket and/or Kalshi APIs).
- Genuine, demonstrated interest in prediction markets.
- Annual base salary range: $175,000 to $200,000.
- Eligible for an annual discretionary bonus.
- Comprehensive suite of employee benefits including medical, dental, vision insurance, 401k, and more.
Questions about this role
Is this a remote position?
Yes, this is a fully remote position.
What is the salary range for this role?
The annual base salary ranges from $175,000 to $200,000, with eligibility for an annual discretionary bonus.
What specific platforms will I be trading on?
You will be monitoring and trading on platforms such as Polymarket and Kalshi.