Job Description

As a Senior Quantitative Risk Analyst, you'll combine quantitative analysis, data science and risk expertise to measure existing and emerging operational risks, develop analytical models and provide insights that support strategic decision-making.

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Responsibilities

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- Applying quantitative analysis and statistical modelling to assess operational risk and identify emerging trends.
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- Managing and enhancing operational risk measurement models, including scenario quantification and stress testing.
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- Analysing internal and external operational loss data to generate meaningful insights and support enterprise risk management.
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- Managing operational loss data governance, including reconciliation, quality assurance and data integrity.
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- Producing high-quality reporting, dashboards and visualisations that translate complex data into actionable business insights.
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Essential

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- 3+ years' experience in quantitative analysis, statistical modelling or advanced data analytics.
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- Strong experience working with large, complex datasets, including data management, reconciliation and data quality controls.
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- Advanced SQL skills and hands‐on experience using analytics and visualisation tools such as Power BI, Tableau and/or Alteryx.
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- Solid quantitative modelling, statistical analysis and analytical problem-solving capability.
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- Experience working within financial services.
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- A degree in Mathematics, Statistics, Data Science, Actuarial Studies, Economics, Finance or another quantitative discipline.
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Desirable

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- Experience in operational risk, enterprise risk, capital management or quantitative risk measurement.
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- Exposure to scenario analysis, stress testing or operational risk modelling.
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- Knowledge of prudential regulatory frameworks and operational risk governance.
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📌 Senior Quantitative Risk Analyst (New South Wales)
🏢 Ethos BeathChapman
📍 New South Wales