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We are seeking an Applied Quant Strategist to join the Chief Investment Office team, focused on the firm’s equities platform — covering both discretionary and systematic strategies across equities and equity derivatives. You will work directly with senior investment leadership to build the analytics, screens, and AI-driven tooling that support capital allocation and risk decisions across the firm.
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.
At Schonfeld, we’ll invest in you. We value teamwork, collaboration and the sharing of ideas at all levels. We provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.
The base pay for this role is expected to be between $175,000 and $225,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.
Schonfeld is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, or sexual orientation. We strive to cultivate a sense of belonging and maintain a hiring process that is fair, welcoming and supportive.