Chief Risk Analytics & ECL Strategy Lead

Rakbank; Dubai; On-site; AED 500,000 - 800,000; Full time

Job summary

Rakbank is seeking a senior risk modelling leader to drive regulatory risk models (PD, LGD, EAD, ECL) across Retail, SME, Wholesale, FI and Investment portfolios. You will oversee IFRS 9 compliance, model risk management, and monthly/quarterly ECL production, while guiding governance, calibration, and strategic risk insights for senior management.

The role requires 12–15 years in credit risk analytics, advanced data science skills, and proven leadership, with strong stakeholder engagement across

Qualifications

• Master's degree and 12–15 years in credit risk analytics or regulatory modelling.
• Extensive IFRS 9 experience and ECL methodologies.
• Strong governance, audit, and regulatory interaction skills.

Responsibilities

• Lead the development, enhancement, and governance of regulatory risk models (PD, LGD, EAD, Rating, ECL).
• Define modelling strategy and roadmap for Retail, SME, Wholesale, FI and Investment portfolios.
• Oversee model lifecycle from development to retirement with calibration and validation oversight.
• Ensure IFRS 9 compliance and adherence to Model Risk Management standards.
• Oversee ECL production processes and regulator submissions on a quarterly/monthly cadence.
• Collaborate with Model Validation, Internal/External Audit, Finance, and regulators.

Skills

Regulatory risk modelling

Credit risk analytics

Model risk governance

Leadership & team management

IFRS 9 expertise

Python / SAS / SQL

Stakeholder management

Regulatory compliance

Education

Master's degree in Statistics, Mathematics, Econometrics, Finance, Data Science, or related quantitative discipline

Tools

Python

SAS

SQL

Databricks

Job description

Rakbank is seeking a senior risk modelling leader to drive regulatory risk models (PD, LGD, EAD, ECL) across Retail, SME, Wholesale, FI and Investment portfolios. You will oversee IFRS 9 compliance, model risk management, and monthly/quarterly ECL production, while guiding governance, calibration, and strategic risk insights for senior management.

The role requires 12–15 years in credit risk analytics, advanced data science skills, and proven leadership, with strong stakeholder engagement across