Credit Risk Collections Agent

Experience and Skills Required:

- 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 modelling and analysis.
- In-depth knowledge of credit bureau data, scoring methods, and financial regulations related to collections.
- Proven track record of improving collections outcomes and operational efficiencies.
- Strong analytical skills with the ability to interpret complex data and translate findings into actionable strategies.
- Excellent communication skills to present findings and recommendations clearly to both technical and non-technical audiences.
- Strong problem-solving abilities and a proactive approach to risk mitigation.
- Ability to work collaboratively with cross-functional teams, balancing data-driven insights with operational requirements.
- Analytical mindset with strong financial acumen.
- Effective communicator with the ability to influence decision-making.
- Team player who can collaborate effectively with both technical and operational teams.
- Strong organizational skills and ability to manage multiple projects simultaneously.

Qualification/s:

- 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.

**Responsibilities**:

- Conduct 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.
- Help design and implement policies and procedures that reduce the exposure to credit risk.
- 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.
- Prepare and present detailed reports for senior management, summarizing findings and recommendations.
- Work closely with the Head of Collections to ensure that data insights are translated into effective collections strategies.
- Support the implementation of risk-based collections practices, including segmentation of customers and prioritization of collection efforts.
- Provide data support for operational campaigns, customer segmentation, and performance monitoring of collection agents.
- Monitor and evaluate the effectiveness of collection strategies, making data-driven recommendations for continuous improvement.
- Identify early warning signs of credit deterioration in SMEs and proactively engage in pre-collections strategies.
- Ensure compliance with internal risk policies and external regulatory requirements.
- Collaborate with legal and compliance teams to ensure collections activities are conducted within regulatory frameworks.

Pay: R40 000,00 - R60 000,00 per month