Technology - Equity Quantitative Strategist

Company Overview

Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1970. With $28 billion in assets under management (AUM), SFM serves as the principal asset manager for the Open Society Foundations, one of the world’s largest charitable foundations dedicated to advancing justice, human rights, and democracy.

Distinct from other investment platforms, SFM thrives on agility, acting decisively when conviction is high and exercising patience when it’s not. With permanent capital, a select group of major clients, and an unconstrained mandate, we invest opportunistically with a long-term view in a wide range of strategies and asset classes, including public and private equity and credit, fixed income, foreign exchange, and alternative assets. Our teams operate with autonomy, while cross-team collaboration strengthens our conviction and empowers us to capitalize on market dislocations.

At SFM, we foster an ownership mindset, encouraging professionals to challenge the status quo, innovate, and take initiative. We prioritize development, enabling team members to push beyond their roles, voice bold ideas, and contribute to our long-term success. This culture of continuous growth and constructive debate fuels innovation and drives efficiencies.

Our impact is measured by both the returns we generate and the values we uphold, from environmental stewardship to social responsibility. Operating as a unified team across geographies and mandates, we remain committed to our mission, ensuring a meaningful, lasting impact.

Headquartered in New York City with offices in Greenwich, Garden City, London, and Dublin, SFM employs 200 professionals.

The Quantitative Development and Strategy team is responsible for research and analytics technology at SFM. We work closely with the front office and across SFM to provide solutions across many areas of quantitative finance. 

We are seeking an equity focused Quantitative Strategist to partner with our portfolio managers and researchers to generate insights that drive investment strategies. You will combine mathematical techniques with core engineering skills to build analytics that can scale our investment process. This role emphasizes empirical research and development. Success requires creativity in formulating the business problem, disciplined research, the ability to communicate findings, and deploying the finished analytical tools to investment decision-makers. 

Major Responsibilities

• Partner with our portfolio managers and analysts to solve problems where quantitative models, technology, and AI can enhance research, operations, and decision making. 

• Conduct data-driven research across diverse asset classes to uncover patterns, relationships, and predictive signals. 

• Contribute to our production-grade analytical tools and libraries that are incorporated into daily investment and risk-management workflows.
• Quantitative support for desk projects such as reporting, back testing, development and implementation of new models. 

• Be the primary liaison between tech. infrastructure and our fundamental portfolio managers in delivering the above 

• Document research methods, results, and best practices for use across the investment team. 

What We Value  

• Master’s or PhD degree in a STEM field preferred.

• 3+ years of work experience in a quantitative finance role, preferably equities.
• Strong foundation in probability, statistics, linear algebra, calculus and other commonly used mathematical techniques.

• Proficiency in Python and exposure to modern data science libraries (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, etc.). 

• Experience with machine learning, NLP, and quantitative research methods. 

• Excellent communication skills targeting technical and non-technical audiences. 

We anticipate the base salary of this role to be between $150,000-200,000. In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus. 

In all respects, candidates need to reflect the following SFM core values:

Smart risk-taking   //   Owner’s Mindset   //   Teamwork   //   Humility   //   Integrity