Key Responsibilities:
- Developing tools and models to support the end-to-end systematic investment process
Contribute to the development of a next-generation systematic options platform
Support factor research and risk management models tailored to derivatives strategies
Develop front-end tools for portfolio optimization, monitoring, and trade automation
Onboard and process data from internal and external sources
Automate and streamline manual processes across the investment workflow
Work closely with cross-functional teams to support modeling, trade execution, and reporting
Key Requirements
Master’s in Engineering, Economics, Finance, or related field (preferred)
CFA or FRM (completed or pursuing) is an advantage
Advanced Python programming skills and familiarity with another programming language (e.g., MATLAB, R, or C++)
Exposure to multi-asset class modeling (equities, fixed income, FX, commodities) is desirable
Machine learning or NLP experience is considered a strong plus
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