Data science jobs in Financial Services industry

Data Science in Financial Services

Financial services is one of the oldest and deepest adopters of quantitative methods. Today, data science powers credit scoring, algorithmic trading, fraud detection, customer lifetime value models, and regulatory stress testing.

Common roles

Quant data scientists, risk modellers, fraud analysts, credit model engineers, and customer analytics leads are all active hiring roles. MLOps and model governance are increasingly important given regulatory requirements.

Key skills

Python, R, SQL, statistical modelling, time-series analysis, XGBoost, survival models, and familiarity with regulatory frameworks such as Basel III and IFRS 9 are valued across financial services.