Gauteng: Credit Scoring Maestro posted by Network Finance

• Design, develop, and review application scorecards, including reject inference models.
• Lead feature engineering initiatives to boost model performance and business impact.
• Partner with business stakeholders to align scoring strategy with commercial objectives.
• Mentor and upskill junior analysts and data scientists, building a strong internal capability.
• Present insights and recommendations to senior and executive stakeholders.
• Continuously improve scoring methodologies with advanced techniques.

Job Experience and Skills Required:

• Education: BSc/BComm in Mathematics, Statistics, Mathematical Statistics, or BEng.
• Experience: Minimum 8 years’ hands-on experience in application scoring, scorecard development, reject inference, and model validation.
• Technical Skills: Proficiency in SAS (non-negotiable); Paragon Modeler experience advantageous.
• Industry Exposure: Multi-industry experience a plus (retail, telecoms, fintech, insurance).
• Ability to work with limited data, build robust models, and deliver actionable outcomes.
• Excellent communication skills and proven ability to engage senior stakeholders.
• Demonstrated leadership/mentorship ability.

Apply now!
For more exciting Finance vacancies, please visit:
? www.********.co.za

I also specialise in recruiting in the following:
– Actuarial roles (Life, Short-Term, Health, Pensions, Quantitative)
– Data Scientists / Data Analysts (Python, R, SQL, Machine Learning)
– Risk Analysts (Credit, Market, Model Risk, Operational)
– Pricing Specialists (Insurance, Financial Products)
– Machine Learning & AI Data Scientists (ML Ops, NLP, Predictive Modelling)
– Quantitative Specialists across Banking, Insurance, and FinTech
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information, contact:
Heidi Joubert
Specialist Recruitment Consultant
? Connect with me on LinkedIn!