Job title: Senior Credit Risk Analyst
Job type: Permanent
Emp type: Full-time
Salary: ZAR 700,000.00
Job published: 26/11/2019
Job ID: 38411

Job Description

SENIOR CREDIT RISK ANALYST / DATA ANALYST – gain MACHINE LEARNING skills with Analytics Modeling Team exploring DATA SCIENCE Initiatives within leading RETAILER -- CAPE TOWN:

 

This is an excellent opportunity for a SENIOR DATA ANALYST / SENIOR CREDIT RISK ANALYST to join a team within a LEADING RETAILER, who provide ad hoc analysis and development of Statistical Models for Strategy Development.

 

The team are actively exploring and implementing Data Science advancements to advantage their Analytics output – this opportunity provides the chance for you to gain MACHINE LEARNING skills and experience.

 

Based in CAPE TOWN this SENIOR CREDIT RISK ANALYST / SENIOR DATA ANALYST position offers a SENIOR LEVEL SALARY.

 

THE COMPANY:

One of the longest established and most successful RETAIL BUSINESSES – this retailer operates an advanced DATA-DRIVEN and ANALYTICS practice; they are dealing with huge volumes of Consumer- and Bureau-data and offer excellent career prospects. 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.

 

REQUIRED SKILLS:

Degree educated, majoring in Statistics.

Experience in building, implementing and using STATISTICAL MODELS for Strategy Development.

SAS BASE / SAS ENTERPRISE GUIDE programming skills.

Experience is RETAIL or FINANCIAL SERVICES industry with Credit Collections or Recoveries experience will be a big advantage.

Experience using PYTHON or HADOOP will also be advantageous.