From Poker Table to Trading Desk: Seeking Exceptional Talent in NYC

[Recruiter-Jim]

My client, a stealth-mode prop firm in NYC, is redefining the frontiers of quantitative finance. They're not your typical Wall Street firm – this is a close-knit group of innovators who are passionate about applying cutting-edge AI to complex trading challenges. Imagine developing the next generation of pokerbots, but instead of battling for chips, they're capitalizing on market inefficiencies and generating profit through sophisticated statistical arbitrage strategies in US equities & futures.

Why this opportunity is unique:

• Mastering Stat-Arb with AI: This isn't just about basic trading algorithms; it's about pushing the boundaries of statistical arbitrage, cross-market arbitrage, and event-driven strategies. You'll be combining advanced order book models with AI agents to identify and exploit fleeting opportunities in the market.
• Monetizing the future of AI: You won't just be building models; you'll be at the forefront of monetizing agent-based AI in the financial world. Your work will directly translate into profitability and shape the future of the firm.
• High Sharpe, mid-frequency strategies: Focus on generating consistent returns with a strong emphasis on risk management, not just chasing fleeting opportunities.
• HFT execution: Leverage high-frequency trading techniques to optimize execution and gain an edge, ensuring your strategies are executed with precision.

Who they're looking for:

• A rising star: You're a brilliant and driven individual with a strong academic background in computer science, mathematics, or a related field. You're either a soon-to-be graduate or a recent graduate seeking your second job.
• Poker champion: You have a proven track record of success in competitive poker, showcasing your strategic thinking, risk management, and decision-making skills in high-pressure environments.
• Coding virtuoso: You're a Python expert with experience in deep learning frameworks. You can whip up a complex algorithm in Python faster than you can say "dynamic programming." Experience with pokerbots or Battlecode is a major plus.
• Probability ace: You possess a deep understanding of probability theory and its applications. You were probably the TA who explained Bayes' Theorem to everyone else.

What you'll be doing:

• Parametrizing, monetizing and orchestrating AI-powered trading agents that learn and adapt to complex market dynamics.
• Researching and developing sophisticated statistical arbitrage strategies, including cross-market arbitrage and event-driven approaches.
• Building and implementing advanced order book models to enhance trading signals and execution.
• Backtesting and optimizing trading strategies to maximize profitability and minimize risk.
• Working closely with the founder to monetize AI and drive the firm's financial success.

If you're ready to join a team of exceptional minds and redefine the future of quantitative finance, this is your chance.