We are hiring a Quant Trader with a strong equity statistical arbitrage background to join a global trading group. The role involves taking a non-traditional approach to equity stat arb strategies, leveraging quantitative research and cutting-edge technology.
Key Responsibilities:
Research and develop equity statistical arbitrage strategies.
Explore and implement alternative approaches to traditional stat arb models.
Manage risk and capital allocation effectively.
Collaborate closely with other traders, researchers, and engineers.
Requirements:
6+ years of experience in quantitative trading with a focus on equity stat arb.
Strong programming skills in Python, R, or C++.
Experience in alpha generation and execution optimization.
Ability to develop and execute trading strategies in a live environment.