Hiring for Leading companies -Data Scientist – Banking and Risk Management

Job Description

Data Scientist – Banking and Risk Management

Role Summary

The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions.

Key Responsibilities

 Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking.

 Analyze large datasets from banking systems to identify risk trends and insights.

 Build predictive analytics solutions for portfolio performance and default probabilities.

 Integrate AI/ML solutions into risk management frameworks for regulatory reporting.

 Collaborate with financial institutions to optimize risk strategies using advanced data science tools.

Required Skills

 Proficiency in Python, R, and machine learning frameworks (TensorFlow, PyTorch).

 Knowledge of banking risk metrics and regulatory requirements (e.g., Basel, IFRS 9).

 Experience with financial data analysis and visualization tools (e.g., Tableau, Power BI).

 Bachelor’s/Master’s in Data Science, Computer Science, or Financial Technology.

 Strong understanding of banking processes and risk management practices.