Equity Quant Strategist: Data-Driven Research & Tools

Soros Fund Management; New York (NY); On-site; USD 150,000 - 200,000; Full time

Job summary

Soros Fund Management in New York is looking for an experienced Quantitative Strategist to drive investment strategies through empirical research. This role provides the opportunity to partner with portfolio managers, utilizing mathematical techniques and engineering skills to enhance the investment process.

The ideal candidate should possess a Master’s or PhD in a STEM field and have over 3 years of quantitative finance experience, specifically in equities. This role offers a competitive salary of $150,000-$200,000 with eligibility for a year-end bonus.

Qualifications

• 3+ years of work experience in quantitative finance, preferably equities.
• Strong foundation in probability, statistics, linear algebra, calculus.
• Excellent communication skills for both technical and non-technical audiences.

Responsibilities

• Partner with portfolio managers to enhance research and decision making.
• Conduct data-driven research across asset classes for insights.
• Contribute to production-grade analytical tools for investment workflows.

Skills

Quantitative modeling

Statistical analysis

Python programming

Machine learning

Data visualization

Education

Master’s or PhD in a STEM field

Tools

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Job description

Soros Fund Management in New York is looking for an experienced Quantitative Strategist to drive investment strategies through empirical research. This role provides the opportunity to partner with portfolio managers, utilizing mathematical techniques and engineering skills to enhance the investment process.

The ideal candidate should possess a Master’s or PhD in a STEM field and have over 3 years of quantitative finance experience, specifically in equities. This role offers a competitive salary of $150,000-$200,000 with eligibility for a year-end bonus.