Technology - Junior Quantitative Strategist
About The Position
We are seeking an entry level Quantitative Research Analyst to partner with our portfolio managers and researchers to generate insights that drive investment strategies. You will use advanced AI, data science methods and machine learning to analyze complex datasets, develop predictive signals, and evaluate market dynamics. This role emphasizes rigorous research, testing, and interpretation of results. Success requires creativity in scoping research problems, discipline in testing hypotheses, and the ability to communicate findings clearly to investment decision-makers.
Requirements
- Bachelor’s Degree in a STEM field. Advanced degree preferred.
- 0-2 years of work experience in a quantitative role, past internship a plus
- Strong 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.
Responsibilities
- Partner with our portfolio managers and analysts to solve problems where AI and quant technology can enhance research, operations, and decision making.
- Deliver production-grade AI tools focused on analysis, such as tonal analysis of earnings calls or summarization of Bloomberg IB chat.
- Conduct data-driven research across diverse asset classes to uncover patterns, relationships, and predictive signals.
- Quantitative support for desk projects such as reporting, back testing, development and implementation of new models
- Be the primary liaison between technology and our fundamental portfolio managers in delivering the above
- Document research methods, results, and best practices for use across the investment team.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
51-100 employees
