Bachelor's Degree in a STEM field; advanced degree preferred
0-2 years of experience in a quantitative role, including internships
Strong proficiency in Python and modern data science libraries
Experience with machine learning and NLP
Excellent communication skills for diverse audiences
Responsibilities
Partner with portfolio managers and analysts to enhance decision-making using AI
Deliver production-grade AI tools for advanced data analysis
Conduct data-driven research across asset classes to find predictive signals
Provide quantitative support for model development and back testing
Act as liaison between technology teams and fundamental portfolio managers
Document methodologies and findings for team-wide access
Benefits
Access to a collaborative and autonomous work environment
Opportunities for professional growth and development
Culture of continuous learning and innovation
Engagement in impactful projects with a social responsibility focus
Participation in a high-performing team dedicated to excellence
Full Job Description
Team Overview
The Quantitative Development and Strategy team is responsible for research and analytics technology at SFM. We work closely with the front office and across SFM to provide solutions across many areas of quantitative finance.
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.
Major 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 We Value
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.
We anticipate the base salary of this role to be between $150,000-200,000. In addition to a base salary, the successful candidate will also be eligible to receive a discretionary year-end bonus.
In all respects, candidates need to reflect the following SFM core values:
