Head of Risk Analytics & Decision ScienceJust posted!
About the BusinessOur client is a rapid-growing, founder-led Australian fintech backed by credible investors and scaling toward its next major growth milestone.The OpportunityThis is an opportunity to lead a risk function from a position of real influence.
Reporting directly to the CEO, with visibility to the Board Risk Committee, you'll own the risk governance framework, define credit and fraud decisioning strategy across the customer lifecycle, and lead the models and team that keep the business growing responsibly within appetite.
You'll play a central role in shaping how a fast-moving, founder-led business balances sustainable growth with risk discipline, bringing the influence and credibility to educate, challenge and build trust with key stakeholders.What you'll doOwn the risk governance framework and set risk appetite, concentration limits, approval thresholds and portfolio monitoringDefine credit, fraud and counterparty decisioning strategies across acquisition,



lifecycle/behavioural and collections efficiencyOwn and maintain expected loss and bad-debt provisioning modelsOwn risk-based pricing governanceTranslate risk policy into functional specifications and own the risk model roadmapOwn monthly executive reporting and quarterly board packsRepresent the business's risk approach with funders, insurers, auditors and investorsLead and develop a team of data scientists and risk analytics professionalsWhat you'll bringStrong stakeholder and C-suite presence, with the influence and credibility to educate and challenge senior, non-risk-background executivesExperience in model validation and model risk management — governance, monitoring, regulatory expectationsSolid experience in credit risk analytics, including PD, LGD, EAD, expected loss, scorecards and early-warning systemsAbility to be hands-on as required, comfortable in the code and the model detail, not just the strategyA background starting in a quantitative discipline before broadening into risk leadership, ideally within financial servicesAdvanced Python (logistic regression, XGBoost or similar modelling experience highly regarded)Experience in lending, payments or fraud considered highly favourablyPlease note this role is Melbourne based and requires candidates to be in the office three days per week.
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📌 Head Of Risk Analytics & Decision Sciencejust Posted! (Melbourne)
🏢 Bluefin Resources
📍 Melbourne