Job Description
Key Responsibilities
- Develop, calibrate, and implement credit risk models including IFRS 9, scorecards, regulatory capital, and behavioural models.
- Conduct model validation, performance monitoring, and benchmarking against industry metrics.
- Derive portfolio credit analytics and prepare highquality reports and client deliverables.
- Communicate modelling insights, challenges, and outcomes with clients and internal teams.
- Assist in drafting technical reports, presentations, and documentation for review.
- Share knowledge, provide guidance to junior team members, and contribute to continuous improvement.
Job Experience and Skills Required
Education
- Undergraduate degree in Statistics, Mathematics, Financial Engineering, Actuarial Science, Engineering, Economics, Econometrics, or related quantitative field.
Experience
- 3–5 years’ experience in banking, financial services consulting, or a quantitative modelling environment.
- Solid understanding of credit risk modelling, predictive analytics, and model lifecycle processes.
- Exposure to IFRS 9, Basel regulations, model risk management, or credit lifecycle processes.
Skills
- Strong proficiency in MS Word, Excel, and PowerPoint.
- Coding skills in SAS, R, Python and/or SQL.
- Excellent report-writing capability and ability to present complex concepts clearly.
- Strong stakeholder management, communication, and problemsolving abilities.
- Ability to manage multiple projects, adapt to change, and work effectively under pressure.
Other NonNegotiables
- Passion for quantitative modelling and a commitment to technical excellence.
- Strong business acumen and analytical mindset.
- Ability to work with multidisciplinary teams.
Apply now!
For more exciting Finance vacancies, please visit:
.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.
For more information, contact:
Heidi Joubert
Specialist Recruitment Consultant
Connect with me on LinkedIn:
.za
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