🎯 Grade: Band-5 to Band-4
🎓 Qualification: Minimum Bachelor’s Degree from an HEC-recognized Pakistani or foreign university
💼 Experience: Minimum 09 years of relevant Banking/Non-Banking experience
🎂 Age Limit: Up to 55 years as on the date of application
Job Description / Major Responsibilities
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Lead the design, development, and validation of digital credit risk models.
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Implement Machine Learning (ML) and AI-driven models to improve credit decisioning, automated underwriting, and portfolio risk management.
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Develop risk strategies for unsecured lending and digital supply chain financing.
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Ensure credit risk models comply with regulatory requirements, including Basel, IFRS 9, and applicable local banking regulations.
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Oversee the use of alternative data sources such as transactional data, telecom data, social media, and open banking data.
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Drive innovation in real-time risk assessment and dynamic credit scoring for digital lending platforms.
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Collaborate with Data Science and Engineering teams to deploy models into production.
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Manage and develop a high-performing team of data analysts specializing in credit risk modeling.
Eligibility Criteria
Qualification:
Minimum Bachelor’s Degree from an HEC-recognized University or Foreign University.
Experience:
Minimum 09 years of relevant Banking/Non-Banking experience.
Age:
Maximum 55 years as of the application date.
Important Notes
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Only shortlisted candidates will be called for an interview.
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No TA/DA will be admissible for the interview.
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The Bank of Punjab reserves the right to accept or reject any application without assigning any reason.
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BOP is an equal opportunity employer. Females, minorities, DAP (Differently Abled Persons), and transgender persons are encouraged to apply.
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The position offers market-based competitive remuneration.
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Eligible candidates should apply online through the BOP Careers Portal by September 28, 2026.
📞 BOP Phone Banking: 111-267-200
Job Summary
Segment Head – Digital Credit Risk Modeling is a senior-level opportunity within BOP's Data Analytics & AI Division (Digital Banking Group), focusing on AI/ML-based credit risk modeling, digital lending, automated underwriting, alternative data, and real-time credit assessment.
🔎 Source: Official Careers Portal
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