Manager Credit Risk Analytics | Abu Dhabi, UAE

ADIB - Abu Dhabi Islamic Bank; Abu Dhabi; On-site; AED 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Manager for Credit Risk Analytics to lead critical initiatives in the realm of Enterprise Risk Management. This role involves developing and maintaining sophisticated credit models, performing quantitative analysis, and advising on emerging trends. The ideal candidate will possess strong analytical skills, a solid understanding of credit risk management practices, and experience with large data sets. Join a dynamic team where your contributions will significantly impact the bank's compliance and operational efficiency, all while fostering a culture of continuous learning and improvement.

Qualifications

• 4-7 years in credit modeling and Basel II/IFRS 9 implementation.
• Master's degree in quantitative/finance or related field required.

Responsibilities

• Develop credit rating models and profitability models.
• Perform monthly ECL/Provisioning calculations and report.

Skills

Credit Risk Modelling

Quantitative Analysis

Machine Learning Algorithms

Data Analysis

Communication Skills

Education

Master's Degree in Quantitative/Finance

Professional Qualification (FRM, PRM, CFA)

Tools

SAS

R

Python

Job description

Manager Credit Risk Analytics

ADIB - Abu Dhabi Islamic Bank Abu Dhabi, United Arab Emirates

• This is an important role within Enterprise Risk Management which has a direct impact on the compliance of the bank with regulatory mandate on model management.
• The impact of this role on the business would be direct and significant as the incumbent is required to develop and maintain application and behavior scorecards and profitability models.
• The incumbent is expected to perform advance analytics on the portfolio and continuously advise the Head of the team on emerging trends.
• The role requires independent thinking, strong communication, initiative, interaction with stakeholders within the team.
• The candidate will have specialized exposure and capacity to execute and deliver end-to-end risk analytics framework, functional / operational capacity with guidance from the team.

Job Description

Role: Manager Credit Risk Analytics

Location: Abu Dhabi

Role Purpose:

• This is an important role within Enterprise Risk Management which has a direct impact on the compliance of the bank with regulatory mandate on model management.
• The impact of this role on the business would be direct and significant as the incumbent is required to develop and maintain application and behavior scorecards and profitability models.
• The incumbent is expected to perform advance analytics on the portfolio and continuously advise the Head of the team on emerging trends.
• The role requires independent thinking, strong communication, initiative, interaction with stakeholders within the team.
• The candidate will have specialized exposure and capacity to execute and deliver end-to-end risk analytics framework, functional / operational capacity with guidance from the team.

Main responsibilities include:

• Quantitative analysis & modelling: Develop credit rating models, Scorecards, macro-overlay models, LGD models and EAD models
• In line with the requirements, participate in the deployment and integration of the models in bank's systems and processes.
• Ensure effective monitoring of the models on a timely basis
• Conduct regular calibration and optimization of the deployed models.
• Perform monthly ECL / Provisioning calculation and report as per agreed timelines. Also develop IFRS based provision forecasting model for budgeting purposes.
• Perform ICAAP and Macro Stress Testing for the different portfolios.
• Support seniors and heads of the team in ensuring that all compliance requirements are fulfilled

Key Accountabilities:

Customer (Internal & External):

• Build and maintain compliant models as part of the team. Perform model remediation as per recommendation from validation team.
• Support in fulfilling requests from the external and internal auditors and the Compliance function as and when required.
• Provide analytical support to the business as and when required
• Assist in Cost-of-Credit budgeting exercise for different products

Internal (Processes, Products, Regulatory):

• Support in the exercise of model development and ECL calculations considering changing market conditions based on regulatory recommendations/ other best practices to ensure that a sound environment for identifying, assessing, measuring, monitoring, and controlling risk is in place.
• Assist in ensuring correct functionality of the deployed models on the scoring platform and institutionalize effective usage by conducting regular verification of inputs & outputs.
• Develop credit models as per requirements from the business, keeping in view the dynamics of credit portfolios and the best risk management practices.
• Support in the development of risk models of Basel / IFRS9 components i.e., PD, LGD, EAD etc., among various asset classes and facility types, ensuring these risk measures comply with regulatory requirements through robust modelling process.
• Support in addressing/ facilitating correction of any weaknesses identified during assessments, audits, or examinations by internal/ external audit staff, Group Compliance personnel, regulators examiners or Sharia' auditors as applicable.
• Conduct monitoring of the deployed models on a regular basis and produce reports with recommendations for improvements to stakeholders.
• Create, maintain, and update model / scorecard related documentation.
• Assist in the maintenance historical DataMart, with all the relevant parameter required for risk modeling, to bring efficiency and consistency in data preparation step of model development.

Learning & Knowledge:

• Assist in development of training programs for team members, stakeholders on different conceptual aspects of quantitative analytics.

Education and experience:

• 4 - 7 years in credit modeling, Basel II and IFRS 9 implementation in the banking sector
• Master's degree in quantitative/finance, professional engineering or any other related field
• Professional Qualification such as FRM, PRM or CFA is desired

Additional requirements:

• Excellent Credit Risk modelling, analytical, and research skills.
• Experience working with large and complex data sets, including alternative data (bureau, open banking etc.) for credit models.
• Good knowledge of financial markets and products and abreast with latest analytical techniques including Machine Learning algorithms such as Support Vector Machines, Random Forest and Gradient Boosting etc.
• Possess superior knowledge of credit risk management best practices including but not limited to pertinent Basel II, Basel III and IFRS 9 Framework on expected credit risk loss, credit risk management and capital adequacy requirements.
• Possess strong quantitative skills and solid experience in developing, validating and monitoring risk models. Knowledge of the credit scoring systems available in the market and their use.
• Advanced user of statistical software (such as SAS and R or Python)
• Strong knowledge of handling Risk Technologies & its implementation.
• Ability to work independently on multiple tasks and/or projects.
• Excellent oral and written communication skills in English.
• Proficiency in risk concepts, banking products/ operations/ systems, pertinent regulatory requirements,
• Flexible team player and able to work and deliver under pressure.
• The ability to inspire and motivate others to gain commitment.

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