Data Scientist

Location: Chicago, IL(Onsite)

Exp: 12+

Skills Required

• 12+ years of relevant experience as a hands-on quantitative investment professional, with a 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.

Mandatory Skills

Data Science

PySpark

Azure DataFactory

Azure Databricks