Credit Risk Collections Analyst

Requirements Bachelor’s degree in finance, Economics, Data Science, Statistics, Business, Operational research or a related field. Master’s degree in a relevant field or professional certifications is a plus 3-5 years of experience in credit risk collections management, preferably within the SME sector Proven track record of improving collections outcomes and operational efficiencies Experience with collections and recovery strategies is essential Hands-on experience in data analytics, statistical modelling, and risk scoring Proficiency in data analysis tools (e.g., SQL, R, Python) Experience with data visualization tools (e.g., Tableau, Power BI) Strong Excel skills for financial modeling and analysis In-depth knowledge of credit bureau data, scoring methods, and financial regulations related to collections Responsibilities Conduct a thorough analysis of the SME portfolio to identify potential risks and trends Develop and implement collection strategies based on data-driven insights to minimize delinquency and improve recovery rates Monitor execution and performance of strategies and ensure that strategies are amended and kept up to date Develop and maintain predictive models for collections to identify early warning signs and take preventative measures Regularly monitor the SME portfolio performance, identifying risk triggers, delinquency trends, and opportunities for improvement Provide actionable insights and recommendations to the Data Science and Operational Collections teams to mitigate risks Develop and maintain dashboards and reports to track key performance metrics (KPIs), delinquency, and recovery rates Analyse large datasets using statistical methods to inform credit risk and collections strategies Collaborate with the Data Science Manager to improve the accuracy and predictive power of credit risk models Support the Collections team by providing data-driven insights for operational decision-making

Location: Cape Town City Centre, ZA

Posted Date: 11/15/2024