Scoring Data Scientist

Network Recruitment; Johannesburg; On-site; ZAR 800,000 - 1,000,000; Full time

Job summary

A leading recruitment firm in Johannesburg is seeking a seasoned professional to innovate in data-scarce environments within SME lending. The role involves leading feature engineering, mentoring analysts, and developing credit scoring models. Ideal candidates will have over 8 years of experience in application scoring and credit risk modelling with strong SAS expertise. This is a fantastic opportunity to work closely with senior stakeholders and make a significant impact.

Qualifications

• 8+ years of hands-on experience in application scoring & credit risk modelling.
• Proven expertise in scorecard development, reject inference & validation.

Responsibilities

• Design, develop, and peer review application scorecards.
• Lead feature engineering initiatives to drive model performance.
• Align scorecard strategies with commercial objectives.
• Develop predictive solutions in low-data environments.
• Mentor and upskill junior analysts/data scientists.
• Present insights and recommendations to executive stakeholders.
• Contribute to PD and behavioural model development.

Skills

SAS expertise

Credit risk modelling

Scorecard development

Feature engineering

Reject inference techniques

Education

Degree in Mathematics, Statistics or Engineering

Tools

Paragon modeler

Job description

This is an exciting opportunity to innovate in data-scarce environments, particularly within SME lending, while working closely with senior stakeholders and mentoring the next generation of data scientists.

Responsibilities

• Design, develop, and peer review application scorecards (including reject inference techniques).
• Lead feature engineering initiatives to drive model performance and business impact.
• Align scorecard strategies with commercial objectives in collaboration with stakeholders.
• Apply scoring models across banking and non-banking industries.
• Develop predictive solutions in low-data environments, especially SME lending.
• Mentor and upskill junior analysts / data scientists.
• Present insights and recommendations to executive stakeholders.
• Contribute to PD and behavioural model development across the team.

Job Experience and Skills Required

• Education: Degree in Mathematics, Statistics or Engineering
• Experience: 8+ years hands-on experience in application scoring & credit risk modelling
• Skills: SAS expertise is essential; Paragon modeler experience advantageous.
• Proven expertise in scorecard development, reject inference & validation.

Apply now!

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