Equity Quantitative Strategist

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

Preferred

• Master's or PhD degree in a STEM field preferred

Benefits

• Eligible employees will be eligible to receive a discretionary year-end bonus.
• Eligible employees receive health insurance, life and disability insurance, retirement benefits, paid leave and other employee benefit programs, subject to applicable eligibility requirements and the terms of the relevant plans and policies.
• Global asset manager and family office.
• New York, New York, USA
• https://sorosfundmgmt.com/
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Accounting and Finance
• Engineering and Development
• Management and Executive
• Customer Service and Support
• Trends of Total Sponsorships
• *2026
• (4)
• 2025
• 2024
• (7)
• 2023
• 2022
• (2)
• 2021
• 2020
• (6)
• Growth Stage
• Recent News
• TheStreet.com
• 3 billionaire investors just piled into the same media stock
• 2026-08-21
• TradingView
• Soros Fund Management Eliminates Stake in Exelon

Qualifications

• 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
• Master's or PhD degree in a STEM field preferred
• 3+ years of work experience in a quantitative finance role, preferably equities.

Required skills

• Calculus, Equity Research, Linear Algebra, Machine Learning, Natural Language Processing, NumPy, Pandas, Probability, PyTorch, Python, Quantitative Finance, Quantitative Research Methods, Scikit-learn, Statistics, TensorFlow

Preferred skills

• Master's or PhD degree in a STEM field preferred

Experience

• 3+ years