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Verified active · 19h ago

Prediction Markets Trader

DRWDRW·Financial Services

Compensation

$175,000 to $200,000

Apply effort

<60 sec

via Aplyr Quick Apply

Posted

41 days

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About the role

DRW is a major Chicago-based proprietary trading firm founded in 1992 by Don Wilson, specializing in diversified, technology-driven market-making and quantitative trading across asset classes including fixed income, options, derivatives, commodities, energy, equities, FX, and cryptocurrency.

DRW is building out a dedicated prediction markets desk focused on platforms such as Polymarket and Kalshi. As a Prediction Markets Trader, you will develop, execute, and optimize high-conviction trading strategies in binary event contracts. You will manage a live portfolio, targeting consistent positive expectancy through market making, microstructure exploitation, cross-platform arbitrage, event-driven momentum, and statistical models. This role requires genuine, demonstrated passion for prediction markets, strong quantitative reasoning, and the ability to operate in thin, volatile, event-resolution-driven environments.

Core Responsibilities:

  • Monitor and trade active markets in real time across Polymarket (CLOB/Gamma/Subgraph APIs) and Kalshi (FIX/WebSocket/REST).
  • Execute strategies including: market making with dynamic skew, microstructure arbitrage (order-flow and book-imbalance sniping), cross-platform arb, news/event momentum (sub-second reaction), and statistical pairs/mean-reversion.
  • Develop and backtest models using historical tick data, Bayesian probability updates, NLP sentiment parsing, and ML for fair-value estimation.
  • Collaborate with engineering on low-latency infrastructure (API integrations, order engines, anomaly detection).

Required Qualifications:

  • 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) or closely related domains (options, binary events, sports/event betting).
  • Genuine, demonstrated interest in prediction markets — we expect you to be actively engaged with the space (personal trading, deep reading of protocols, following major resolutions, contributing to discussions, etc.). This is non-negotiable.

Highly Valued (but not strictly required):

  • Prior profitable trading experience in prediction markets, options, or event-driven strategies (personal or professional).
  • Familiarity with blockchain/DeFi tools (ethers.js, Polygon RPC, USDC wallets).
  • Experience with low-latency systems, FIX protocol, or Web3 integrations.
  • Track record of building and backtesting quantitative models with real historical data.
  • Deep domain knowledge of high-impact events (politics, macroeconomics, climate, sports).

Who We’re Looking For: We are especially interested in exceptionally sharp, self-motivated individuals — including strong campus hires and new graduates — who are obsessed with prediction markets and can demonstrate clear, substantive engagement with the space. If you’ve been actively trading Polymarket/Kalshi, analyzing resolutions, building personal models, or following the ecosystem closely, we want to talk to you.

Apply With:

  • Resume
  • Cover letter explicitly detailing your genuine interest in prediction markets (specific examples of your engagement: trades you’ve made, resolutions you’ve studied, models you’ve built, protocols you follow, etc.)
  • GitHub, personal blog, or portfolio links showing relevant work

Applications reviewed on a rolling basis. Strong candidates will receive a technical screen, strategy discussion, and live coding/modeling exercise focused on real prediction market scenarios.

Location: Flexible. US-based preferred.

The annual base salary range for this position is $175,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

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Aplyr's read

DRW is a dynamic proprietary trading firm where technology and quantitative research drive innovation across diverse asset classes. Ideal for tech-savvy finance professionals.

Synthesized from recent postings & public sources

What's promising

  • DRW offers a tech-driven environment focusing on quantitative research for trading.
  • The firm provides opportunities in diverse asset classes, including equities and derivatives.
  • DRW is known for hiring skilled engineers and researchers, emphasizing innovation.

What to watch

  • The proprietary trading model may involve high-pressure environments with significant performance expectations.
  • Limited public information about the company's work-life balance and employee satisfaction.
  • The fast-paced nature of trading may not suit everyone, especially those new to finance.

Why DRW

  • DRW integrates cutting-edge technology with trading strategies, setting it apart in the financial sector.
  • The firm actively invests in machine learning and data engineering roles.
  • DRW's focus on diverse asset classes offers varied career paths for specialists.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About DRW

DRW Trading is a proprietary trading firm that engages in trading across various asset classes, including equities, fixed income, and derivatives. The firm leverages technology and quantitative research to drive its trading strategies.

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