Credit & Pricing Analyst

Recruiter:

Communicate Recruitment

Job Ref:

CTI006574/LB

Date posted:

Friday, April 17, 2026

Location:

Cape Town, South Africa

Salary:

400 000 Annually

SUMMARY:
Build models that directly impact profitability and real lives.
Work on highâscale financial and credit systems across multiple African markets.
A rare analyst role where data drives realâworld decisions, not slide decks.

POSITION INFO:

My client is looking for a Credit & Pricing Analyst who wants to sit at the center of commercial decisionâmaking and own the analytical engine behind pricing and credit strategy.

This is not a passive reporting role. You’ll design, refine, and own models that influence profitability, credit risk, and growth across several operating countries. Your work will directly shape pricing, underwriting, and commission structures, with clear visibility of P&L impact.

You’ll analyse large, diverse datasets to improve automated credit scoring and risk models, forecast repayment behaviour and portfolio losses, and explore new analytical approaches that unlock better customer and business outcomes. Analysts here are expected to go beyond spreadsheets, understanding secondâorder effects, engaging with operational teams, and driving real change.

If you enjoy combining strong technical depth with commercial ownership, this role offers rare exposure, responsibility, and impact at scale.

Skills & Experience:
Minimum 2–5 years’ experience in credit risk, pricing, data science, or a similar analytical role
Strong SQL skills for data extraction and analysis
Advanced proficiency in Python or R for modelling, statistical analysis, and visualisation
Experience building or maintaining credit scorecards, pricing models, or financial forecasts
Solid understanding of credit risk, portfolio performance, and P&L drivers
Strong problemâsolving ability with a commercial, outcomeâfocused mindset
Ability to explain complex quantitative insights to nonâtechnical stakeholders
Comfortable working in ambiguous, fastâmoving environments

Qualification:
Bachelor’s or Honours degree in Actuarial Science, Statistics, Data Science, Mathematics, or a related quantitative field

Contact LIZAAN BUNNING on or , quoting the Ref: CTI006574

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