Senior Manager, Retail Credit Policy

This is a fully remote position, open to applicants in Pakistan.

📋 Description

• Oversee lending and financing policies/framework for specific products within the UAE market.

• Author and manage credit criteria along with Risk Asset Acceptance Criteria for designated products.

• Ensure portfolio quality and develop a management strategy by defining retail credit policies and financing parameters.

• Lead the retail bank's strategy focusing on 'Risk' and 'Growth' through suitable retail credit policy actions.

• Regularly update and maintain the Retail Credit Policy Manual, which serves as the framework for individual product programs.

• Ensure that all retail credit policies align with the strategic orientation and target segments that the bank aims to expand.

• Standardize and align product programs in the UAE within the retail banking lending framework.

• Conduct comprehensive, ongoing reviews of portfolios in the UAE.

• Provide input on all strategic initiatives from a retail risk perspective, including portfolio management, acquisitions, and compliance with central bank regulations and provisioning norms.

• Ensure compliance with Central Bank regulations related to retail risk, including impact analysis and implementation.

• Collaborate with business, risk, and legal departments to develop portfolio strategies that consider opportunities, threats, risks, rewards, and portfolio performance, while focusing on risk-adjusted returns and maintaining credit risk control.

• Monitor risk charge regularly to maintain portfolio performance predictability, ensuring ongoing achievement of risk charge targets.

• Promote automation of policies and processes by collaborating with the underwriting team and other relevant stakeholders.

• Review and provide recommendations to senior managers regarding new product launches and significant policy changes.

⛳️ Requirements

• A Master's degree (M.Sc.) or Ph.D. (or equivalent) in Mathematics, Statistics, Data Science, Computer Science, Economics, or a related quantitative field from a reputable institution.

• A minimum of 8–10 years of experience in banking/financial services, with extensive exposure to credit risk analytics, retail risk management, and policy formulation, preferably in unsecured lending portfolios.

• A strong foundation in statistical modeling, machine learning, and advanced analytics as applied to credit underwriting, scorecards, and portfolio management.

• Capability to translate data-driven insights into actionable credit policy to optimize risk-return trade-offs.

• Advanced proficiency in Python, R, SAS, or SQL for data analysis and model development.

• Strong expertise in data visualization tools such as Power BI and Tableau.

• Preferred experience working with large datasets, data pipelines, and cloud-based analytics environments.

• Familiarity with unconventional datasets, including unstructured and alternative data for refining lending strategies.

• In-depth understanding of retail credit risk frameworks, portfolio dynamics, and regulatory requirements (including Central Bank guidelines).

• Awareness of industry best practices in AI-driven credit decisioning, digital underwriting, and risk-based pricing.

• Ability to integrate AI-driven insights into business strategy while balancing growth and risk, with a focus on ethical AI usage.

• Strong stakeholder management and communication skills, capable of conveying complex analytical outputs to senior leadership.

• Strategic mindset focused on portfolio optimization, early warning indicators, and proactive risk mitigation.

• Experience with digital lending platforms, fintech ecosystems, or AI-enabled underwriting systems is a plus.

• Prior experience in product strategy or portfolio management is an added advantage.

🏝️ Benefits

• Health insurance

• Retirement savings plans

• Professional development opportunities