Manager Credit Risk Analytics

Job title: Manager Credit Risk Analytics

Company: ADIB


Job description: Job Description:Role: Manager Credit Risk AnalyticsLocation: Abu DhabiRole 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.

Expected salary:

Location: United Arab Emirates

Job date: Wed, 30 Apr 2025 07:46:47 GMT

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