Prediction Markets Trader (Quantitative Trading)

Location: Flexible; US-based candidates preferred

Salary: $175,000–$200,000 annual base salary, plus an annual discretionary bonus

Company

hirify.global is a Chicago-based proprietary trading firm specializing in technology-driven market-making and quantitative trading across multiple asset classes.

What you will do

• Monitor and trade active prediction markets on Polymarket and Kalshi using their APIs.
• Execute market-making, microstructure arbitrage, cross-platform arbitrage, event-driven momentum, and statistical pairs or mean-reversion strategies.
• Develop and backtest models using historical tick data, Bayesian probability updates, NLP sentiment parsing, and machine learning for fair-value estimation.
• Manage a live portfolio in thin, volatile, event-resolution-driven markets.
• Collaborate with engineering on low-latency API integrations, order engines, and anomaly detection systems.

Requirements

• Bachelor’s degree or higher in quantitative finance, statistics, computer science, economics, mathematics, or an equivalent field.
• Strong Python programming skills, including pandas, NumPy, and backtesting.
• Strong knowledge of probability, statistics, time-series analysis, and Bayesian methods.
• Hands-on experience with Polymarket or Kalshi APIs, or related experience in options, binary events, or sports and event betting.
• Demonstrated, active interest in prediction markets is required.

Nice to have

• Profitable prediction-market, options, or event-driven trading experience.
• Familiarity with blockchain and DeFi tools, ethers, Polygon RPC, and USDC wallets.
• Experience with low-latency systems, FIX protocol, or Web3 integrations.
• Experience building and backtesting quantitative models with historical data.
• Knowledge of politics, macroeconomics, climate, or sports events.

Culture & Benefits

• Opportunity to work on a dedicated prediction-markets desk focused on Polymarket and Kalshi.
• Medical, pharmacy, dental, and vision insurance.
• 401(k) with a discretionary employer match.
• Short- and long-term disability, life, and AD&D insurance.
• Health savings and flexible spending accounts.

Hiring process

• Applications are reviewed on a rolling basis.
• Selected candidates complete a technical screen, strategy discussion, and live coding or modeling exercise based on real prediction-market scenarios.
• Applicants should provide a resume, a cover letter describing their prediction-market engagement, and relevant GitHub, blog, or portfolio links.