Overview
Business Segment : Personal & Private Banking
Location : ZA, GP, Johannesburg, 30 Baker Street
Responsibilities
Lead and manage the Lending Strategy and Data Automation team to enhance the credit decision-making process and simplify and automate the Portfolio team data infrastructure and reporting processes. You will be responsible for the monitoring, enhancement and development of the Lending credit risk strategy across various Loan products to continuously work toward improvements in the credit decision-making process. You will lead a talented analytics and data engineering team using large data sets to provide in-depth data-driven insights and trends over time to influence the credit strategy design and drive actionable initiatives to create sustainable growth of the Loans portfolio. With the ability to cross collaborate across teams and present your findings and proposals to key stakeholders and committees, you will drive the creation of effective credit strategies, identification and improvement of processes and support your team members in executing these key initiatives. Your role and analysis performed within the team will be key in directly impacting new business default performance against risk appetite, with your recommendations pivoting the optimization and improvement in credit performance.
Qualifications
- Completed Matric
- A post-graduate degree is advantageous, in Mathematical Sciences, Risk Management, Quantitative Studies.
Experience
5-7 yearsCredit risk or a related analytical environment, where credit risk experience in Originations and / or scorecard monitoring and development, account management and collections would be advantageous.People management, leadership and people developmentAdditional Information
Strong communication and presentation skills.Attention to detail : A strong focus on accuracy and precision, ensuring that all credit risk assessments and models are thorough and reliableAnalytical Thinking : The ability to break down complex problems, gather and analyze relevant data, and make well-informed decisions.Producing a high standard of output : Is focused on activity and works quickly; keeps busy and maintains productivity; is comfortable multi-tasking to produce outputCollaborative problem solving : Strong communication and relationship building skills to create, foster and leverage from other’s experience and knowledge.Proactive and driving your own initiative : Displaying a keen initiative to identify and solve for areas of opportunity to improve business performance.Strong understanding of credit risk principles, credit policy and risk appetite frameworksExperience in retail credit risk managementFamiliarity with credit scoring modelsHighly Proficient in statistical software packages such as SAS (preferred), Python and R.Data sourcing, development of end-to-end report productionStrong excel skills and application knowledge (pivot tables, advanced functions, VBA desirable)#J-18808-Ljbffr