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Credit Risk Analyst

Job Reference

LAS005

Region

Southern Africa

Reference LAS005
My client, a leader in the e-commerce sector, are in the process of recruiting a Credit Risk Analyst, to be based in Cape Town.

Responsibilities include:
  • Assist with the monitoring of risk-based strategies within acquisition to ensure that only customers with the correct risk levels are allowed to purchase
  • Running existing report to be used in executive information packs
  • Assisting operational departments with operational reporting
  • Monitoring key metrics and interpreting findings
  • Assist with the review and enhancement of the credit limits to ensure the business exposure strategy is met
  • Assist with and maintain strategies for early and late stage collections that ensure that operations department focus on the correct delinquent accounts
  • Maintain and update forecast models for future legal write off and provisions
  • Use data-oriented approach to work with others in solving complex business problems around profitability, marketing, risk, and operational analysis
  • Design experiments and use various test and control strategies for credit operations, analyse results, and build predictive models to forecast future outcomes.
  • Perform data-oriented ‘what if’ and ‘ad-hoc’ analysis to support business strategy optimization in credit operations
  • Develop a strong credit risk team by mentoring the less experienced trainee credit risk analysts   
  • Assists Credit Risk Manager and Senior Credit Risk Analysts on key projects
Qualifications:
  • Numerate degree (BSc, BCom, B Bus Sci, B Eng.)
  • Would benefit from courses in advanced mathematics, computer programming, economics, and operations research
  • Minimum of 2 years' working experience as a credit risk analyst
  • Working knowledge and exposure to processes such as banking or retail credit
  • Strong willingness to learn
  • Ability to critically analyse and problem solve
  • Be able to review own work with attention to detail
  • Advanced computer literacy skills with a high proficiency in MS Excel, SQL or SAS
  • Project management experience will be advantageous
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