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.
 Solid understanding of banking processes and risk management practices.

📌 Hiring For Leading Companies Data Scientist – Banking And Risk Management Bengaluru (India)
🏢 Acura Solution
📍 India