Technology - Equity Quantitative Strategist

Soros Fund Management • New York, NY

12h • $150,000 - $200,000

About The Position

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.

Requirements

• 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.
• In all respects, candidates need to reflect the following SFM core values: Smart risk-taking // Owner’s Mindset // Teamwork // Humility // Integrity

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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees