A highly innovative quantitative hedge fund, founded in 2021, is pioneering the use of advanced AI and mathematical principles to generate uncorrelated alpha through systematic long/short equity strategies. The firm's philosophy is deeply rooted in physics, mathematics, and cutting-edge technology, with a global team of experts across the U.S., Europe, and India. The fund operates with rigorous risk management standards and a commitment to market neutrality, leveraging next-generation tools to identify lasting alpha opportunities. This is a boutique environment where innovation, precision, and collaboration drive success.
The fund is looking to make their first NYC based Risk Quant hire. This is the first dedicated risk hire, offering high visibility and direct collaboration with the Founder & CIO, giving you the ability to shape risk frameworks and influence key decisions. You will have creative freedom to design custom hedging strategies, optimize portfolio risk, and build scalable infrastructure for future growth. The role combines hands-on quantitative research with strategic input, making it ideal for someone who thrives in a fast-paced, entrepreneurial environment. As part of a small, elite team, you'll play a critical role in defining risk management for one of the most forward-thinking hedge funds in the industry.
Requirements
• Advanced degree in quantitative finance, mathematics, physics, or related field
• Strong expertise in risk modeling, portfolio optimization, and factor hedging
• Proficiency in Python and experience with modern data platforms
• 3+ years of prior experience at a hedge fund or systematic trading environments
