Credit Risk Manager
1 week ago
Job Reference : JHB-HRM-1
Purpose of the JobReview and Recommend Models and Strategies: The manager plays a pivotal role in reviewing and recommending the company's developmental credit risk and investment risk models and strategies in line with best practice.
This involves staying updated on industry standards and ensuring the company's approaches are competitive and effective.
Key Responsibilities- Develop and Maintain Risk Models: Assist in developing, monitoring, reviewing, and maintaining portfolio risk models and IFRS9 models for impairment purposes, focusing on Expected Credit Loss (ECL) and Unexpected Loss (UL) perspectives.
- Risk Quantification: Through predictive analytics, determine and update default probabilities across clients, products, and portfolios based on historical, current, and market data patterns and trends.
- Collaboration with Finance and Treasury: Work closely with Finance and Treasury to contrast the likelihood of possible performance scenarios around key value drivers such as collections, impairments, disbursements, etc., ensuring financial stability and foresight in planning.
- Financial and Risk Reporting: Run month-end, quarterly, and year-end reporting processes, providing technical support in financial and risk reporting, issue analysis, project management, quality assurance review, and leading key projects that impact credit and investment projects.
- Stakeholder Engagement and Team Collaboration: Collaborate with the Credit team, develop relationships with stakeholders outside the credit risk function, and contribute to various Credit and Investment Committees.
- Leadership and Employee Development: Lead employee development, demonstrating strong leadership qualities and a proactive attitude towards driving solutions.
- Awareness and Analytical Skills: Demonstrate a broad awareness of the credit and investment risk environment, management, financial reporting, and analytical skills.
- CA(SA) / FRM / CFA / Masters in risk or postgraduate qualification in statistics
- Relevant Degree (Statistical / Finance / Mathematical background)
- MBA or similar (advantageous)
- Proficient in SAS / R / SQL
- Data analytics and data science (advantageous)
- 7 years' relevant experience in Credit risk, development finance, lending, and investments.
- Advanced knowledge of investment risk management systems
- Knowledge of NCR and NCA and related legislation
- Experience in managing teams
- Expertise in building or validating impairment models (including experience in Basel / IFRS9 / scorecard models, equity valuation)
Above experience in a similar environment with financial modelling experience.
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