8+ years of relevant experience as a hands-on quantitative investment professional, witha track record of developing predictive alpha models in fixed income markets.
Masters, or PhD in a technical or quantitative discipline (e.g., statistics, mathematics, physics, electrical engineering, computer science, applied economics, or finance).
- Systematic Fixed Income investing experience a plus.Proficiency in at least one programming language, ideally Python, with additional experience in PySpark, SAS , MATLAB, or R being advantageous.
- Hands-on experience working in Azure Cloud Services, ADLS, ADF, Databricks will be very helpful.
- Strong knowledge of asset pricing, factor anomaly literature, and the application of sustainability data within an investing context.
- Expertise across the entire quantitative investment lifecycle, including alpha research, risk management, portfolio management, trade execution, and the application of technology.
- Experience in applying machine learning models within an investing context, with familiarity in alternative data as an advantage.
- Ability to think independently, creatively approach data analysis, and clearly communicate complex ideas.