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Tier-1 brand, Bangalore location, and common Data Scientist title increase applicant competition significantly.
Specialized credit risk validation and regulatory requirements limit cross-industry transferability.
Explicit 7–10 years plus mandatory credit-risk validation, Basel/APRA expertise and programming skills make filters strict.
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Lead comprehensive validation of credit risk and AI models, ensuring compliance with internal and regulatory standards across the model lifecycle.
Partner with stakeholders including model developers and owners to communicate validation findings, risks, and recommendations effectively.
Drive strategic improvements in validation methodologies and provide mentorship to enhance team capability and validation quality.
7-10 years experience in credit risk model validation or development.
Bachelor's or master's degree in engineering, computer science, information technology, mathematics, statistics, or econometrics with above average academic achievements.
Proficiency in SAS, R, Python, SQL; experience with Basel credit risk regulatory standards.
Working knowledge of copilot, GPT, Claude required; experience with APRA regulations (IRB, IFRS9, stress testing) and tools like Jupyter notebooks, R-markdown, GitHub advantageous.
Experienced in end-to-end credit risk model validation projects and regulatory compliance within banking or financial services.
Strategic mindset focused on continuous improvement of validation processes and methodologies.
Demonstrates strong communication skills to interpret complex technical findings and influence diverse stakeholders including senior management.