Equities Front Office Quantitative Strategist

Company Overview

Soros Fund Management LLC (SFM) is a multi-strategy global investment firm and family office that manages approximately $28 billion in net assets. Founded by George Soros in 1970, SFM serves as the principal asset manager for the Open Society Foundations (OSF), one of the world's largest charitable foundations dedicated to promoting justice, human rights, and democracy. SFM leverages its permanent capital base, unconstrained mandate, and 50-plus years of experience to invest nimbly across diverse strategies and asset classes, including public and private equities and credit and macro assets. SFM’s approach is unique in the investment industry. Headquartered in New York City, with offices in London and Dublin, SFM employs about 200 professionals.

Position Overview

The role of Equities Front Office Quantitative Strategist involves working with several investment teams across Equities, applying quantitative expertise to solve business problems through a variety of analytical methods. The candidate will work extensively with historic and current data sets to develop, back test and implement trading strategies, having a measurable impact on our business. They will work closely with the investment staff and the quantitative strategy team.

The ideal candidate is a highly analytical and creative problem-solver with excellent verbal and written communication skills, who enjoys working in a collaborative environment that also promotes individual initiative, innovation, and a smart risk-taking mindset.

Reporting To: Head of Quantitative Data Strategy

Major Responsibilities  

• Work directly with portfolio managers, analysts, and traders across several strategies in Equities.
• Develop frameworks to backtest portfolio strategies and validate models over historical data to ensure robustness and accuracy.
• Design and implement advanced quantitative models to optimize equity portfolios based on risk, return, and other constraints.
• Effectively communicate these strategy recommendations to senior portfolio managers and traders.
• Partner with the Technology team to design and implement scalable infrastructure solutions.
• Integrate SFM and third-party data sets related to historical reference data, factor data, end of day and tick-level data, corporate actions (IPOs, Secondary, M&A, Spin-offs, etc.).
• Design and implement APIs that enable fast, secure, and reliable access to large datasets and analytics tools, ensuring that researchers can retrieve and interact with data seamlessly.
• Build UI tools to display analytical findings to assist PMs and traders in their investment decisions.
• Collaborate with other strategists within QDS on data architecture and analytical strategies and recommendations.

Requirements

• Master’s or P.hD. degree in Quantitative Finance, Financial Engineering or a STEM field.

• 10 or more years of experience with developing front-office tools and analytics.

• Understanding of Equities markets, including familiarity with capital markets (IPOs and secondary offerings) and corporate actions (mergers, spinoffs, etc.).
• Experience with signal research, back testing, and portfolio optimization.
• Advanced understanding of Equity Risk Factor models and their applications for risk forecasting, hedging and performance attribution.
• Knowledge of factor-based investing, statistical arbitrage, or other systematic equity strategies is a plus.
• Must possess the ability to synthesize complex quantitative techniques into actionable and practical insights, bringing advanced analytical methods with strategic business decision-making.
• Familiarity with common data science and machine learning tools and libraries (e.g. Pandas, Sklearn, etc.).
• Strong understanding of statistical methods and principles is required.
• Experience in building or expanding in-house libraries or frameworks to support quant research. This includes creating reusable components, modular code, and documentation for broader team usage.
• Familiarity with common financial tools and market data providers (e.g. Bloomberg, FactSet, CMG).
• Experience with Python.
• Experience with other programming languages is a strong plus.
• Experience building analytical UIs and visualizations for front office users.

What We Offer

• We anticipate the base salary for this role will be in the range of $200k – $250k. In addition to base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus, as well as other benefits.
• Available Benefits Include (i) a daily meal allowance, (ii) health,vision, dental, and disability insurance, (iii) a generous PTO and parental leave policy, (iiii) an employer-sponsored 401k plan (eligible for employer matching), and (iv) a 3:1 employer matching gifts program for 501c(3) or equivalent qualified organizations.
• Opportunities for professional development and growth.
• A collaborative and inclusive work environment.
• The chance to make a meaningful impact on global labor practices and human rights.

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

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

Discover how SFM continues to drive impactful investments and supports the global mission of the Open Society Foundations.