Credit Analyst: Collections and Recoveries
ExecutivePlacements.com
Credit Analyst: Collections and Recoveries
Recruiter
Network Recruitment
Job Ref
NFP016972/IV
Date posted
Friday, July 17, 2026
Location
Midrand, South Africa
SUMMARY
Are you passionate about Credit Risk analytics and using data to solve complex business challenges?
Our client is seeking a highly analytical
Credit Analyst to join a dynamic Credit Risk team that sits at the heart of strategic decision-making. If you thrive on solving complex problems, enjoy translating data into actionable strategies, and want to accelerate your career within a forward-thinking financial institution, this role is for you.
POSITION INFO
Key Responsibilities: Design, validate, and optimise collections and recoveries strategies that improve portfolio performance. Analyse portfolio behaviour and identify opportunities to reduce credit losses and maximise recoveries. Develop predictive, propensity, and forecasting models to support business strategy and decision-making. Produce insightful MI, dashboards, and executive reports that drive strategic action. Job Experience and Skills Required: Bachelor's Degree in Business Science, Commerce, Finance, Engineering, Mathematics, Statistics, or another quantitative discipline. Minimum 2 years' experience in a Credit Risk analytical role within a consumer lending environment. Experience in collections, recoveries, unsecured lending, or retail banking will be highly advantageous. Strong technical skills in SAS, SQL, Python, R, and/or VBA. Experience with predictive analytics, statistical modelling, forecasting, and data manipulation. Excellent analytical, problem-solving, presentation, and stakeholder management abilities. Apply now! For more exciting Finance vacancies, please visit: I also specialise in recruiting in the following: Actuarial: Life, Short-Term, Health, Pensions, and Quantitative Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning) Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts Pricing: Specialists in Insurance and Financial Products AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists Quantitative: Experts across Banking, Insurance, and FinTech If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions. For more information, contact: Irene Venter Recruitment Consultant
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