Head of Quantitative Research and Investment Technology

Soros Fund Management LLC (SFM) is a global asset manager and family office with $28 billion in AUM, serving as the principal asset manager for the Open Society Foundations. Founded by George Soros in 1970 and headquartered in New York City, SFM invests opportunistically across a wide range of strategies and asset classes including public and private equity, credit, fixed income, foreign exchange, and alternative assets. The firm operates with a permanent capital base and an unconstrained investment mandate.

SFM is seeking a Head of Quantitative Research and Investment Technology to serve as a senior leader responsible for strengthening the firm's quantitative research, portfolio construction, risk analytics, and front-office technology capabilities. This individual will partner closely with the Chief Investment Officer, Chief Risk Officer, and portfolio managers to enhance investment decision-making through rigorous quantitative frameworks and scalable analytical tools.

Reporting to the Chief Technology Officer, the role is centered on building quantitative models and technology infrastructure that directly influence capital allocation—across investment ideas, strategies, and risk management—by embedding quantitative insight into core investment processes.

Key responsibilities include collaborating with discretionary and systematic portfolio managers to develop models and analytics that enhance idea generation, security selection, and investment sizing. The role requires designing predictive models, factor research, relative value frameworks, and signal evaluation methodologies. The Head will integrate alternative data, machine learning techniques, and advanced statistical methods into the investment process, and will lead the development of scalable tools used by front-office investment professionals.

The ideal candidate brings deep expertise in quantitative research within an investment management context, strong technical skills in machine learning and statistical modeling, and the ability to translate complex quantitative output into actionable investment insights. Experience building and leading high-performance quantitative teams is expected.