Key Responsibilities
- Develop, calibrate, and implement credit risk models (IFRS 9, scorecards, regulatory capital, behavioural models).
- Conduct model validation, performance monitoring, and benchmarking.
- Produce portfolio credit analytics and prepare client‑ready reports and presentations.
- Communicate modelling insights, challenges, and recommendations to internal stakeholders and clients.
- Assist with drafting technical reports, documentation, and model development artefacts.
- Provide guidance to junior team members and contribute to continuous improvement initiatives.
Job Experience and Skills Required
Education:
- Degree in Statistics, Mathematics, Financial Engineering, Actuarial Science, Engineering, Economics, Econometrics, or a similar quantitative field.
Experience:
- 3–5 years’ experience in banking, financial services consulting, or a quantitative modelling environment.
- Strong 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:
- Proficiency in MS Word, Excel, and PowerPoint.
- Coding skills in SAS, R, Python and/or SQL.
- Excellent report‑writing and presentation skills.
- Strong stakeholder management, communication, and problem‑solving abilities.
- Ability to manage multiple projects, adapt to change, and work under pressure.
Other Non‑Negotiables:
- Passion for quantitative modelling and technical excellence.
- Strong business acumen and analytical mindset.
- Ability to work effectively within multidisciplinary teams.
Apply Now!
For more exciting Finance vacancies, please visit:
https://www.networkrecruitmentinternational.com
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 JoubertSpecialist Recruitment Consultant
Connect with me on LinkedIn:https://www.linkedin.com/in/heidi-joubert-1877a236/