Data Scientist, Risk & Quant Analytics

About the role

We are seeking a skilled and motivated Data Scientist to join our team, focusing on analyzing data to uncover actionable insights and patterns. The ideal candidate will leverage statistical methods, machine learning techniques, and domain knowledge to discover signals that will drive trading strategies and enhance risk management decision‑making.

Key responsibilities

• Collect, clean, and analyze large datasets—including market data, portfolio positions, social media sentiment, alternative big data, and economic indicators—to identify trading and behavior patterns.
• Develop and deploy machine‑learning, AI, and statistical models to forecast market movements, sector performance, alpha generation, and security rankings.
• Conduct rigorous hypothesis testing, model evaluation, and refinement to ensure robust decision‑making.
• Manage data preparation pipelines and maintain data quality for model building and analysis.

Required profile

• Advanced degree (Master’s or higher) in Data Science, Statistics, Mathematics, Computer Science or a related field.
• Deep understanding of statistical and probability analysis, quantitative methods, and strong problem‑solving abilities.
• Excellent communication skills and ability to work collaboratively in a team‑oriented environment.

Required skills

• Proficiency in Python or R.
• Experience with data‑manipulation libraries such as pandas and NumPy.
• Familiarity with machine‑learning frameworks like scikit‑learn and TensorFlow.