Application Scoring Specialist

3 weeks ago

Johannesburg, South Africa Network Recruitment Full time

If you live and breathe scorecard development, thrive on experimentation, and can explain complex models to an executive board without breaking a sweat keep reading.Join a forward-thinking financial powerhouse thats rewriting the rules of credit risk and SME lending. This is a team of innovators who dont just crunch data they use it to make bold decisions that transform how businesses lend, score, and grow.Youll work alongside some of the brightest minds in data science and credit analytics, designing next-gen scoring models and driving feature engineering that truly delivers. The work is challenging, diverse, and far from repetitive and your ideas will have a direct impact on the future of financial inclusion.If youre ready to be the go-to person for application scoring innovation and lead the charge in data-driven lending, this is your moment.Key Responsibilities:Design, develop, and refine powerful application scorecards using advanced methodologies like reject inference.Lead feature engineering initiatives that take predictive modelling to the next level.Collaborate with business leaders to align scoring models with strategic goals.Innovate in low-data environments especially for the SME lending space.Coach and mentor Junior Analysts while influencing executives with your technical vision.Drive the modernisation of scoring methodologies using cutting-edge data science tools.Oversee multiple modelling projects simultaneously, balancing detail with delivery.Job Experience and Skills Required:Bachelors Degree in Mathematics, Statistics, Data Science, Actuarial Science, or a related field.8+ years of hands-on experience in application scoring and credit risk modelling.Proven track record of developing, deploying, and validating scoring models (including reject inference).Strong technical proficiency in SAS (required); Paragon Modeler experience is a plus.Excellent communication and stakeholder engagement skills.Demonstrated leadership in mentoring and guiding junior data professionals.Experience across industries (banking, fintech, insurance, and telecoms) is an advantage.Preferred Attributes:Experience in SME or alternative lending environments.Familiarity with machine learning applications in scoring.Agile mindset with an eye for innovation and practical execution.Why Join Us?:Be part of a team transforming how data powers credit risk and lending decisions.Work on high-impact, cross-industry projects that shape financial strategy.Hybrid working model for flexibility and balance.A culture that rewards innovation, initiative, and technical excellence.Apply nowFor more exciting Finance vacancies, please visit:

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