Work in a Data Science team with other stakeholders to identify, scope, develop and implement Data Science and AI solutions to address users’ needs.
Conduct applied research in advance simulation and data science techniques to tailor models to Home Team operational use cases. These techniques include but are not limited to:
Engineer end‑to‑end analytics solutions by designing scalable data models and production‑grade architectures that convert complex business requirements into trusted analytical assets.
Ensure data quality, platform resilience, and meaningful insights to drive effective business decisions.
Cloud-Based Solutions: Proven track record in developing and managing innovative cloud- based data solutions (AWS/Azure/GCP/Alibaba Cloud etc).
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Manage the technical aspects of a financial crime system implementation throughout the entire project lifecycle, from initial planning to deployment and post-implementation support, including:
Proactively identify, assess, and mitigate technical risks and issues that could impact project timelines, scope, or quality. Develop and implement strategies to address technical challenges effectively.
Collaborate with cross-functional teams and stakeholders to ensure technical solutions align with organisational standards and project objectives.
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Work in a Data Science team with other stakeholders to identify, scope, develop and implement Data Science and AI solutions to address users’ needs.
Conduct applied research in advance simulation and data science techniques to tailor models to Home Team operational use cases. These techniques include but are not limited to:
Manage the technical aspects of a financial crime system implementation throughout the entire project lifecycle, from initial planning to deployment and post-implementation support, including:
Proactively identify, assess, and mitigate technical risks and issues that could impact project timelines, scope, or quality. Develop and implement strategies to address technical challenges effectively.
Collaborate with cross-functional teams and stakeholders to ensure technical solutions align with organisational standards and project objectives.
...
Lead the design and development of conceptual, logical, and application data models in line with the organization’s enterprise data strategy.
Collaborate with business teams to enhance understanding, interpretation, design, and implementation.
Continuously improve the data modelling estate, ensuring adherence to risk management, control measures, security protocols, and regulatory compliance standards.
...
Lead the design and development of conceptual, logical, and application data models in line with the organization’s enterprise data strategy.
Collaborate with business teams to enhance understanding, interpretation, design, and implementation.
Continuously improve the data modelling estate, ensuring adherence to risk management, control measures, security protocols, and regulatory compliance standards.
...