Pricing Actuary

Recruiter:

Network Recruitment

Job Ref:

NFP016501/ZG

Date posted:

Friday, January 9, 2026

Location:

Cape Town, South Africa

Salary:

Annually

SUMMARY:
Step into the world of high-impact investing with a market-leading investment group specialising in non-performing debt acquisitions across South Africa, Namibia, and Botswana. In this role, you’ll work closely with senior investment executives, valuing complex portfolios and building advanced models that directly influence board-level strategy and multi-million-rand investment decisions.

POSITION INFO:
This opportunity goes beyond traditional actuarial work. You’ll apply your quantitative expertise to uncover value where others see uncertainty, shaping investment outcomes across banking, retail, telecoms, and financial services sectors.

As a Pricing Actuary, you’ll sit at the centre of the investment process — combining technical excellence with commercial insight to drive growth in a fast-paced, results-driven environment.

Key Responsibilities:

Perform portfolio valuations and pricing analysis for non-performing debt portfolios
Develop and enhance sophisticated financial models using DCF, machine learning, Markov-chain models, and runoff triangles
Conduct sensitivity analyses and construct proxy portfolios to assess risk and return dynamics
Design valuation scorecards and lead the automation of pricing and modelling processes
Analyse large and complex datasets to identify key performance indicators that guide investment strategy
Partner directly with senior investment executives to deliver actionable, insight-driven pricing recommendations

Job Experience and Skills Required:
Education:

Bachelor’s degree in Actuarial Science, Finance, Mathematics, Statistics, Economics, or a related quantitative discipline

Experience:

Minimum of 3+ years’ experience in financial modelling, valuations, credit risk analytics, or investment modelling
Strong grounding in valuation methodologies, credit risk, and data-driven analysis

Skills

Proficiency in SQL, Python, R, and advanced Excel (essential)
Proven experience in quantitative and financial modelling
Ability to manage large datasets, tight deadlines, and complex analytical problems
Strong commercial mindset with the ability to translate analysis into clear business insights
High-performing, self-driven, and comfortable operating in a fast-paced investment environment

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