Tech – Quant Strategist (Derivatives)

Soros Fund Management LLC (SFM) is a global asset manager and family office founded by George Soros in 1973. 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.

We are seeking an experienced Quantitative Strategist to join our team as a senior individual contributor. You will work directly with portfolio managers, risk, and technology to deliver projects across pricing, alpha generation, risk management, and analytics, with ownership of problems from framing through to production.

You will bring sound judgment to how quantitative work gets done: what to build, what to buy, and where effort is best spent. You are practical, commercially aware, and comfortable operating with a small footprint and a wide remit.

• →Evaluate, select, and maintain the derivatives pricing models used across the platform, spanning equity and fixed income products, including vendor and open-source libraries as well as in-house implementations
• →Implement pricing models or extensions where existing solutions fall short, and ensure vendor models are correctly configured and adapted to our products, market conventions, and risk requirements
• →Assess model limitations rigorously and communicate them clearly to portfolio managers and risk
• →Work with portfolio managers on alpha research, including relative value analysis, strategy backtesting, and signal implementation across asset classes
• →Develop and enhance real-time P&L, risk, and analytics tools for portfolio management teams
• →Prioritize work by business impact and push back where effort is not justified by value
• →Communicate complex technical concepts effectively to technical and non-technical stakeholders

• 7+ years in a quantitative role in financial markets, such as front-office strategist, desk quant, model validation, or quantitative research
• Deep understanding of equity and fixed income derivatives pricing
• Proven ability to critically evaluate models built by others, including vendor libraries, and to form a clear, defensible view on their appropriate use
• Strong interest in markets and in how models are used in practice on a trading desk
• Strong proficiency in Python and its numerical ecosystem; exposure to C++, C#, or similar is a plus
• Proficiency with SQL and comfort working with market and reference data
• Ability to operate independently and move between different problems as priorities shift
• Advanced degree in a quantitative discipline (Mathematics, Physics, Engineering, Mathematical Finance, or similar)

We anticipate the base salary of this role to be between $200,000-250,000. In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus.