Job Description
Key Responsibilities
- Perform valuations and pricing analyses for non-performing debt portfolios.
- Develop and refine financial models using DCF, machine learning, Markov-chain models, and runoff triangles.
- Conduct sensitivity analyses and build proxy portfolios to evaluate risk and return.
- Design valuation scorecards and automate pricing processes.
- Analyze large datasets to identify KPIs that inform investment strategy.
- Partner with investment executives to deliver actionable, data-driven recommendations.
Qualifications and Experience
- Education: Bachelor’s degree in Actuarial Science, Finance, Mathematics, Statistics, Economics, or a related field.
- Experience: 3+ years in financial modelling, valuations, or credit risk analytics.
- Technical Skills: Proficiency in SQL, Python, R, and advanced Excel.
- Competencies: Independent, analytical thinker with a strong commercial mindset and attention to detail.
If you’re ready to merge analytics with impact, apply now!
For more exciting Actuarial and Analytics opportunities, visit:
Network Recruitment International – Finance Jobs
Specializations:
- Actuarial: Life, Short-Term, Health, Pensions, Quantitative
- Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
- Risk: Credit, Market, Model, and Operational Risk Analysts
- Pricing: Insurance and Financial Product Specialists
- AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
- Quantitative: Experts across Banking, Insurance, and FinTech
Apply now!
For more exciting Finance vacancies, please visit: www.********.co.za
I also specialize in recruiting in the following:
- Actuarial
- Data Analytics
- Product Development
- Pricing
- Valuations
- Market Risk
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:
Kholo Mongalo
Recruitment Researcher in Actuarial & Analytics
Connect with me on LinkedIn! www.********.co.za
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