Data Scientist

Role Overview

Clean and process global derivative, alternative asset and private-market datasets, deliver feature engineering and statistical analysis for investment research.

Key Responsibilities

• Ingest, clean, and harmonize complex, unstructured datasets from global public and private markets.
• Perform advanced feature engineering to extract actionable insights for the investment team.
• Conduct rigorous statistical analysis, hypothesis testing, and risk modeling.
• Build interactive data visualization dashboards for portfolio managers and executives.
• Automate reporting workflows and optimize data processing algorithms.

Required Qualifications

• 3+ years of professional experience in data science, quantitative analysis, or statistical modeling.
• Strong programming skills in Python, SQL, and R.
• Extensive experience with data manipulation and ML libraries (Pandas, NumPy, scikit-learn).
• Solid foundation in probability, statistics, and econometrics.

Preferred Qualifications & Skills

• Familiarity with alternative data sources (e.g., satellite imagery, credit card panels, web scraping).
• Previous experience working in the asset management or hedge fund industry.