Critically evaluate ML model outputs to ensure alignment with financial theory and real-world market dynamics
Translate research signals into actionable investment strategies and portfolio construction frameworks
Collaborate with ML researchers to refine models, incorporating financial domain expertise
Design, prototype, and scale quantitative models using Python and Java
Contribute to the financial validation layer of the R&D cycle
Translate complex portfolio objectives into rigorous modeling specifications
Collaborate across technical workstreams to ensure research outputs are aligned with investment objectives

Degree in Finance, Quantitative Finance, Financial Engineering, Mathematics, or a related field
Understanding of portfolio construction, asset allocation, and risk management
Solid Python/Java programming skills, with experience in financial modeling, data analysis, and working with ML-driven workflows
Experience interpreting, validating, or stress-testing quantitative or machine learning models
Ability to bridge finance and technology
Strong analytical mindset with the ability to communicate complex quantitative insights clearly to both technical and business stakeholders
Fluent in English (written and spoken)

Quantitative Data Scientist

Key skills