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Macquarie Group is seeking a Data Scientist | Senior Analyst to join the Model, Data and AI Risks Internal Audit team. You will conduct audits across data risk dimensions, including data quality, sovereignty, privacy, and records retention.
You will review both traditional and AI models across their lifecycles and contribute to strengthening audit testing techniques used to assess risk controls. You will gain exposure to various data infrastructures and model types, including Treasury, Market
Risk Management, Technology - Data Analytics, Technology - Data Scientist
As the analytical engine within the Model, Data and AI Audit team, you will conduct audit testing across all dimensions of data risk, including data quality, data sovereignty, privacy, and records retention. You will also perform reviews of both traditional and AI models, covering all stages of the model lifecycle across Macquarie. You will play a key role in uplifting the model risk internal audit strategy and capability by strengthening our audit testing techniques used to assess the effectiveness of risk management controls. You will be responsible for performing deep dives into model and data risk controls, identifying control weaknesses, sharing insights and recommendations for improvement, and supporting the team in preparing high‑quality audit reports for Senior Management and the Board Audit Committee. Through these reviews, you will gain exposure to a wide range of data infrastructure, business processes, and model types, including Treasury, Market Risk, Credit Risk, and AI and machine learning models.
As the analytical engine within the Model, Data and AI Audit team, you will conduct audit testing across all dimensions of data risk, including data quality, data sovereignty, privacy, and records retention. You will also perform reviews of both traditional and AI models, covering all stages of the model lifecycle across Macquarie. You will play a key role in uplifting the model risk internal audit strategy and capability by strengthening our audit testing techniques used to assess the effectiveness of risk management controls. You will be responsible for performing deep dives into model and data risk controls, identifying control weaknesses, sharing insights and recommendations for improvement, and supporting the team in preparing high‑quality audit reports for Senior Management and the Board Audit Committee. Through these reviews, you will gain exposure to a wide range of data infrastructure, business processes, and model types, including Treasury, Market Risk, Credit Risk, and AI and machine learning models.
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