Credit Risk Analyst (Cape Town)

 

Recruiter:

Star Personnel Recruitment (Pty) Ltd

Job Ref:

Credit Risk Analyst ..

Date posted:

Tuesday, February 2, 2021

Location:

CapeTown, South Africa

Salary:

Market Related salary incl Med Aid and Provident Fund


SUMMARY:
This is a great opportunity for you to join one of South Africa’s most successful and best-known corporates in the retail clothing industry with over 700 branches in SA and neighbouring countries.

POSITION INFO:

Candidates must be Cape Town based.

The Risk & Analytics Department comprises 2 teams – Credit Risk Strategy and Predictive Insights.

One of the benefits of working in this department is that you get to deal with Credit Risk from concept to execution. The teams are small, so you will get involved in all the other areas where the risk teams work, brainstorming problems together and contributing where needed. 

This alleviates the frustration of getting trapped in a particular area of risk without ever seeing the outcome of the work that you have done. In these teams you will get to see and be part of the whole process which is very satisfying.

You will also have access to some of the best technology in the industry as well as exposure to a top class team who can share a wealth of knowledge and experience.

It’s an exciting environment where you will be constantly encouraged to reinvent the way they conduct their business in their continuous drive to remain at the very top of their industry.

The client works primarily with SAS Base / Enterprise Guide / Enterprise Miner and FICO’s Blaze Decision Optimizer. 

 

Responsibilities

In this role you will be responsible for ad hoc analyses; feature engineering; data preparation; development of statistical models; strategy development; monitoring and tracking.

 

Qualifications and Experience

Minimum requirement of a BCom / BBusSci / BSc Actuarial Science / BCom Investments or similar

At least 2 years’ experience in building, implementing and using statistical models

Experience conceptualizing, coding and implementing feature engineering

Experience working with large datasets and preparing data

SAS Base / Enterprise Guide programming experience

Experienced Microsoft Office user

SAS Enterprise Miner programming experience advantageous

Experience with bureau data beneficial

Experience using Python and Hadoop advantageous

Excellent analytical and numeric skills

High attention to detail driving a need for 100% accuracy

Able to manage effectively in a high-volume, fast-paced, error-free environment

Excellent verbal, written and presentation communication skills required

Ability to extract, validate, clean and prepare data for modelling and reporting

Ability to prepare well-structured, clear and concise deliverables, including presentations

Strong collaborative interpersonal skills – both with internal and external parties

High level of integrity and confidentiality

Ability to learn and to share findings with the team in a concise, clear manner

Self-starter



 

NB! This job is now closed. You can apply for other jobs by uploading your CV.



 

 

 

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