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Equity Quantitative Strategist
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-06-12
Listing for:
Soros Fund Management
Full Time
position Listed on 2026-06-12
Job specializations:
-
Finance & Banking
Data Scientist -
IT/Tech
Data Scientist
Job Description & How to Apply Below
Job Overview
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.
MajorResponsibilities
- 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.
- Provide 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.
- 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, Num Py, Scikit-learn, PyTorch, Tensor Flow, 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 $,000. In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus.
Core Values- Smart risk-taking
- Owner’s Mindset
- Teamwork
- Humility
- Integrity
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