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Envision Employment Solutions

Credit Risk Director

Risk ManagementConfirmed live in the last 24 hours
Full-timeEl Sheikh Zayed City, Giza Governorate, EgyptNo salary listed

About the Job

Requirements

  • At least 12 years of credit risk experience within banking or financial services, with a proven track record across acquisition, underwriting, portfolio management, collections, and recoveries.
  • Prior experience as Head of Credit Risk or in an equivalent senior leadership role, with ownership of credit policy, risk appetite, and governance.
  • Direct CBE regulatory experience, including working knowledge of CBE retail lending and provisioning regulations.
  • Applied knowledge of IFRS 9, including expected credit loss and staging, and the Basel credit risk capital framework.
  • Experience operating in or building automated digital credit decisioning environments, including scorecards and model-driven lending.
  • A bachelor's degree in a quantitative, finance, economics, or business discipline.
  • Experience presenting to and influencing board-level and executive committees.
  • Expert credit risk management across the full lifecycle, from origination strategy to recoveries.
  • Ability to design and own credit policy, risk appetite, and governance frameworks.
  • Experience overseeing scorecards and AI/ML decisioning model governance, validation, monitoring, and explainability.
  • Knowledge of IFRS 9 expected credit loss modeling and provisioning, and Basel credit risk capital and stress testing fundamentals.
  • Portfolio analytics fluency, including vintage analysis, roll and flow rates, loss forecasting, and early warning indicator design.
  • Experience with collections, recoveries, and fraud risk strategy in a digital, automated context.
  • Data and analytics literacy, including the ability to interrogate models and data directly.
  • Working command of the CBE regulatory landscape and emerging-market retail credit dynamics.
  • Ability to make decisive, sound decisions with incomplete information and balance rigor with a digital bank's pace.
  • Ability to influence senior stakeholders across executive leadership, board committees, regulators, and first-line partners.
  • Ability to balance risk protection with responsible, profitable growth.
  • Ability to attract, develop, and retain talent, setting clear standards.
  • Integrity, resilience, transparent communication, and commitment to controls and ethics.

Responsibilities

  • Own the credit risk strategy, policy suite, risk appetite framework, and governance model across retail and MSME lending products, aligned with the CRO's risk strategy and CBE expectations.
  • Define, validate, and govern underwriting policy, credit scoring models, and AI/ML decisioning engines for real-time, straight-through lending, balancing approval rates, expected loss, and customer experience.
  • Establish model governance and validation lifecycle standards for scorecards and machine-learning decisioning models, including development standards, independent validation, monitoring, challenger frameworks, and explainability.
  • Monitor portfolio quality continuously and run the Early Warning Indicator framework, escalating material and emerging risks to the CRO with decision-ready analysis.
  • Govern IFRS 9 expected credit loss staging, models, and provisioning, and ensure the credit book's contribution to capital adequacy and stress testing is sound under the Basel framework.
  • Set and optimize digital-first collections and recoveries strategy, including segmentation and champion/challenger treatment paths, and oversee credit-related fraud detection, prevention, and decisioning controls.
  • Represent Credit Risk in the Board Risk Committee, Risk & Compliance Committee, and product approval committees, and manage the policy exception framework transparently.
  • Build, lead, and develop a high-calibre credit risk team, partnering with Product, Data Science, Technology, Finance, and Business to embed sound credit thinking.

Desired Qualifications

  • Digital bank, neobank, or fintech lending background, ideally in an emerging-market context.
  • Hands-on familiarity with AI/ML credit decisioning, model governance, and explainability practices.
  • A master's degree in Finance, Statistics, Data Science, or a related field, or an MBA.
  • Professional certification such as FRM, CFA, PRM, or equivalent; complementary credentials such as ACAMS or CIA are viewed favorably.
  • Experience with credit decisioning platforms, scorecard tooling, and analytics environments, including decision engines, SAS, Python, R, SQL, and business intelligence or portfolio monitoring tools.
  • Experience establishing a credit risk function from scratch or through a major transformation.

About the Company

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