Minimum Requirements

Requirements

• Masters degree in Statistics, Data Science, Actuarial Science, or a related field
• Minimum of 8 - 10 years experience in a similar role on senior/executive level
• Strong experience developing predictive models for forecasting probability of default
• Experience and knowledge of provisioning approaches and calculation
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills
• Travelling in Africa is required at least once per quarter

Duties and Responsibilities

• Develop and execute the overall credit risk management strategy in alignment with the companys goals and regulatory requirements.
• Provide strategic direction and leadership to the credit risk management team, fostering a culture of risk awareness and continuous improvement.
• Develop, review, and update credit risk policies, frameworks, and procedures to ensure effective risk management practices, optimising profitability and driving financial success and expansion across Africa.
• Delve into complex data sets using SQL and other analytical tools to extract meaningful insights and detect trends.
• Ensure compliance with regulatory standards and internal policies, adapting to changes in the regulatory environment.
• Oversee the assessment and analysis of credit risk exposures across all portfolios.
• Set risk-based pricing for financial products to ensure they meet specified profitability targets by analysing risk levels and adjusting pricing structures to maintain a balance between competitiveness and financial sustainability.
• Generate detailed insights into different customer profitability segments by collaborating with the finance team and other relevant stakeholders.
• Enhance the effectiveness of credit risk management strategies and leading to improved outcomes and reduced defaults
• Scrutinize data sets to uncover variables and trends associated with credit risk outcomes using statistical methods to inform risk assessment and decision-making processes.
• Create sophisticated credit risk models based on rigorous statistical analysis and machine learning techniques to predict the probability of consumer default and improve the accuracy of credit risk assessments.
• Implement robust credit risk models and tools to assess and monitor credit risk, ensuring timely identification and mitigation of potential risks.
• Monitor and manage the credit portfolio, ensuring diversification and alignment with risk appetite.
• Develop and implement strategies for managing non-performing loans and distressed assets.
• Collaborate with senior management, business units, and external stakeholders to ensure a comprehensive understanding of credit risk and its impact on business objectives.
• Collaborate closely with operational teams to embed credit risk models and data-driven methodologies into daily processes.
• Present credit risk reports and insights to the Board of Directors, Risk Committee, and other key stakeholders.
• Liaise with regulatory bodies, auditors, and other external parties on matters related to credit risk management.
• Stay abreast of industry trends, best practices, and emerging risks in credit risk management.
• Drive continuous improvement initiatives to enhance the efficiency and effectiveness of credit risk management processes.