Credit Risk Collections Analyst

Recruiter:

The Skills Mine

Job Ref:

244202528

Date posted:

Wednesday, October 16, 2024

Location:

Cape Town, South Africa

SUMMARY:
-

POSITION INFO:

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

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