VP Model Developer – Middle Market

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Mashreq

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Banking • Finance • Fintech

Mashreq is a leading financial institution based in the UAE, offering a wide range of banking services including personal, corporate, and investment banking. The bank focuses on providing innovative financial solutions to its customers and has a strong digital banking presence.

1001 - 5000 employees

Founded 1967

🏦 Banking

💸 Finance

💳 Fintech

📋 Description

• Prepare presentations and communicate effectively with Senior Management and Board-level committees • Engage with multiple stakeholders across the credit lifecycle: Limit Management, Collateral Management, RAROC, Customer Rating • Review financial spreading logic in newly developed credit lifecycle system • Support governance and audit readiness through proper model documentation and transparent development practices • Design and implement end-to-end process for development, validation, and lifecycle management of Wholesale Rating Models • Develop and validate a range of models including Corporate/Wholesale Rating Models including Large Corporate, Mid Corporate, SME, Sovereign, FI, HNWI, Project Finance, and Specialized Lending • Explore new approaches for rating model development for low default portfolios • Master Rating Scale (MRS) calibration • Build, mentor, and lead a team of modelers and consultants • Drive capability building and continuous learning within the team through training, peer reviews, and knowledge sharing • Develop statistical climate risk models, integrate economic and social data to understand how climate risks may impact.

🎯 Requirements

• Strong foundation in Statistics and Mathematics. You have hands-on experience in developing and validating Wholesale Rating Models (PD, LGD, EAD) and a deep understanding of model lifecycle best practices. • Strong programming languages such as R and Python, and are proficient in data analysis and visualization using Excel and PowerPoint. Knowledge of other relevant tools or platforms (e.g. SAS, SQL, visualization tools, workflow automation tools) would be an advantage. • Hold a degree in Statistics, Mathematics, Computer Science, Quantitative Finance, Economics, Engineering, or a related field. • Passionate about risk management and about advancing the science of credit risk modeling. Excellent communication skills, both written and spoken, with fluency in English. Ability to convey complex technical concepts clearly to both technical and non-technical stakeholders. • Undergraduate degree in Finance, Risk, Economics, Engineering or other related field • 10-15 years of progressive, multi-discipline risk management experience within banking sector • Deep understanding of risk management concepts and methodologies gained through development and practical application of risk policy/frameworks • Demonstrated capability to apply risk management concepts, analysis and support to strategic decision-making processes • Demonstrable people and managerial leadership experience in a matrixed and multi-jurisdictional organization • Outstanding interpersonal and influencing skills; Possess personal credibility and ability to influence stakeholders at all levels, particularly senior colleagues.

🏖️ Benefits

• health insurance • retirement plans • paid time off • flexible work arrangements • professional development