Overview
In this role you will contribute to building and validating algorithmic trading models for a top hedge fund. You will work within a high-caliber team that uses scientific methods to develop strategies across equities, FX and commodities, leveraging large real-world data sets. You will develop and test real-world code, review models, and monitor performance to ensure alignment with trading objectives. The position offers relocation to Cyprus and a chance to operate at the cutting edge of quantitative finance in a fast, entrepreneurial environment.
Pay / Benefits
- relocation offered
Responsibilities
- contribute to model building and validation for algorithmic trading
- perform independent reviews of Algo/eTrading models
- contribute to testing framework for algo/e-trading models
- provide expert assessment of performance vs aims of trading algorithms
- create high-quality, real-world code
- challenge existing design
Key requirements
- PhD in Statistics, Physics, Econometrics, or Computer Science
- 2 years’ postdoctoral experience at a leading research institution or financial services company
- strong quantitative skills and attention to detail
- experience handling large datasets (preferably real-world data)
- ability to communicate ideas/results clearly
- clear communication
- attention to detail
- problem-solving mindset
- probability and statistics
- time series analysis
- partial differential equations (PDEs)
…
