Unsecured Portfolio Collections Strategy Manager

SUMMARY:
Step into a role where strategy, data, and impact actually meet. If you’re the kind of person who gets a thrill from building smarter collections models, optimizing performance, and driving real results across a massive credit portfolio, this one’s for you. Our client is a major player in the financial services space, known for its strong national footprint and commitment to responsible lending. They’re building out a sharper, future-fit collections strategy, and they’re looking for someone who’s ready to take full ownership of how the collections book performs - from strategy and analytics, to continuous optimization.

POSITION INFO:
You’ll join a forward-thinking environment where your work directly influences growth, profitability, and risk outcomes. If you enjoy solving complex problems, leading strategic initiatives, and turning data into action, you’ll fit in here quickly.

What’s in it for you? A platform where you’ll have the autonomy to shape how a collections strategy evolves, access to advanced tech and analytical tools, and a team that genuinely values innovation, improvement, and real-world impact.

Key Responsibilities:

• Lead the end-to-end design, development, and optimization of the collections strategy across the full lifecycle.
• Build, implement, and monitor analytical models, scorecards, monthly targets, and performance dashboards.
• Analyze portfolio trends, identify risks, diagnose root causes, and develop actionable recommendations that improve collection outcomes.
• Drive continuous improvement through champion/challenger testing, campaign optimization, automation, and data-driven insights.

• Honours Degree or equivalent in BCom (with Maths or Stats), Economics (with Econometrics), or Actuarial Science.
• 5+ years’ experience in a similar collections strategy, analytics, or risk role.
• Experience working within banking or financial services (advantageous).
• Advanced experience with analytical and reporting tools: SQL, R, Python, AWS, and advanced Excel.
• Strong modelling, forecasting, reporting, and optimization capability.
• Ability to explain complex data insights to non-technical stakeholders.
• Proven ability to improve operational systems, processes, and performance metrics.

• Actuarial
• Product Development
• Pricing
• Valuations
• Credit Risk
• Market Risk