Collect and analyse large volume of structured and unstructured data from a variety of data sources including ERP systems, accounting systems and others.
Work with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations and assist on conducting data analysis for identifying evidences of fraud, abuse and wastage.
Analyse and mine the data using different analytical techniques to identify both known and unknown patterns of fraud
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Own the end-to-end delivery of Assurance AI features, from requirements and solution design through development, testing, release, and production support
Work closely with Assurance stakeholders to translate business objectives into clear product requirements, user stories, acceptance criteria, and technical delivery plans
Lead and coordinate developers across front-end, back-end, API, data, cloud, AI, and testing workstreams
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Work with clients, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations and assist on conducting data analysis for identifying evidences of fraud, abuse and wastage.
Analyse and mine the data using different analytical techniques to identify both known and unknown patterns of fraud
Collect and analyse a large amount of structured and unstructured data from a variety of data sources including ERP systems, accounting systems and others.
...
Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
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Develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
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Contribute technically to analytics projects and deliver high-quality work products
Work effectively as a team member, sharing responsibility, providing support, maintaining communication, and updating senior team members on progress
Demonstrate in-depth technical capabilities and professional knowledge. Demonstrate ability to assimilate new knowledge. Possess good business acumen, remain current on new developments in advisory services capabilities.
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