
Abu Dhabi Islamic Bank
Senior Manager β Market Risk Models
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 10 - 15 yrs
Job overview
Date posted
24/12/2025
Location
Abu Dhabi, United Arab Emirates
Salary
AED 30,000 - 40,000 per month
Compensation
Job description
The Senior Manager β Market Risk Models role sits within the Market Risk function of the Risk Management Department and is responsible for monitoring, reporting, and modelling market risk and all related quantitative risk models including PRRBB, PFE, VaR, XVA, and pricing models. The role encompasses building stress test scenarios, supporting liquidity risk frameworks, and providing due diligence support to Treasury, Capital Markets, and Asset and Liability Management activities. The position requires leadership in the development, enhancement, validation, and maintenance of advanced market risk models while recommending continuous improvements to the overall risk management framework. The role demands strong quantitative capabilities, advanced proficiency in IT and data analytics, and deep expertise in market risk management and modelling techniques. A key mandate is ensuring compliance with international regulatory standards such as Basel III as well as local regulatory frameworks including MMS and MMG, while embedding best practices, discipline, and robust controls across the market risk function. The Senior Manager is expected to internalize specialist knowledge often sourced from external consultants, build sustainable in-house expertise, reduce third-party dependency, and introduce innovation and efficiency through advanced quantitative methods, scalable IT-driven solutions, and automation. The role contributes to strategic decision-making through high-value analytical insights, model governance, regulatory interactions, capital optimization initiatives, collateral management, enterprise risk analytics, and the enhancement of market liquidity and counterparty credit risk frameworks across asset classes.
Required skills
Key responsibilities
- Monitor, report, and model market risk exposures including PRRBB, PFE, VaR, XVA, pricing models, stress testing, liquidity risk, and asset-liability management metrics
- Lead the development, enhancement, validation, and implementation of advanced market risk models using statistical and mathematical techniques and scalable IT solutions
- Design and implement stress test scenarios and conduct complex data analysis, back testing, and scenario analysis to assess model performance and robustness
- Ensure compliance of market risk models and frameworks with Basel III and local regulatory requirements including MMS and MMG
- Provide comprehensive technical documentation and ongoing support for market risk models in line with internal policies and regulatory expectations
- Drive cross-functional collaboration with trading, finance, treasury, and IT teams to integrate risk models into enterprise risk management systems with automation and scalability
- Contribute to model governance processes, regulatory interactions, and strategic initiatives related to capital optimization and collateral management
- Enhance market liquidity and counterparty credit risk frameworks including liquidity-adjusted VaR, PFE, and exposure analytics across asset classes
- Conduct ongoing research into new methodologies, best practices, regulatory developments, and emerging technologies in quantitative finance and market risk modelling
- Build and internalize specialized quantitative risk knowledge within the team to reduce reliance on external consultants and ensure sustainable expertise
Experience & skills
- Hold a Masterβs or PhD degree in quantitative finance, mathematics, statistics, physics, engineering, or a related quantitative discipline
- Possess at least 10 years of experience in market risk modelling or a closely related role within a financial institution or consultancy
- Demonstrate strong knowledge of market risk concepts, metrics, and regulations including VaR, stress testing, ALM, Basel III, MMS, and MMG
- Exhibit proficiency in programming languages such as Python, R, MATLAB, and C++ along with experience using databases and data analysis tools such as SQL and Excel
- Show advanced quantitative, analytical, and data analytics capabilities with the ability to implement IT-driven and automated risk solutions
- Demonstrate the ability to work independently and collaboratively within a fast-paced, highly regulated financial services environment