Job title: Senior Credit Risk Analyst
Job type: Permanent
Emp type: Full-time
Salary: negotiable
Location: Cape Town
Job published: 11/02/2020
Job ID: 38441

Job Description

Senior Credit Risk Analyst – deliver STRATEGIC INSIGHTS across leading Retailer & GAIN MACHINE LEARNING skills.

Cape Town, Highly Lucrative Salary (NEG).

Golden opportunity for a SENIOR CREDIT RISK ANALYST to join a skilled team that is delivering multiple STRATEGIC INSIGHTS across a leading Retailer.

The current Credit Risk team is actively exploring and implementing DATA SCIENCE advancements to advantage their Analytics output   - YOU will have the opportunity to GAIN MACHINE LEARNING skills.

Based in Cape Town, this SENIOR CREDIT RISK ANALYST role is paying a highly lucrative salary which is negotiable based on your experience.

The Company:

They are one of the longest-established and most successful Retailers in Southern African and operate highly ADVANCES DATA-DRIVEN & ANALYTICS PRACTICES, dealing with a massive amount of Consumer and Bureau-data.

The ANALYTICS TEAM cover all aspects of RISK, STATISTICAL MODELING AND STRATEGY DEVELOPMENT, based on their advanced skills in QUANTITATIVE ANALYSIS, INSIGHT and DATA SCIENCE SOLUTIONS.

 The Role:

As SENIOR CREDIT RISK ANALYST you will build, implement and use Statistical Models to inform Strategy Development through the insight you deliver through your work. Further to this you will contribute to the ongoing DATA SCIENCE & MACHINE LEARNING Advancements. The role requires both hands-on data management, analytics, insight delivery and reporting – therefore you must be able to run with a process through the end-to-end data lifecycle. Business presentation skills are equally important as technical-analytical proficiency.

 This role provides the opportunity to help advance the DATA SCIENCE output of the Credit Risk teams.

Skills & Experience needed:

  • Degree educated, majoring in Statistics.
  • SAS BASE certificate would be a big advantage
  • Experience in building, implementing and using STATISTICAL MODELS for Strategy Development.
  • SAS BASE / SAS ENTERPRISE GUIDE programming skills. If you have solid SQL development  skills that would also be considered
  • Experience is RETAIL or FINANCIAL SERVICES industry with Credit Collections or Recoveries experience
  • Experience using PYTHON or HADOOP will also be advantageous.