Strong presentation skills and proficiency in the use of PowerPoint, Word and Excel
Minimum 3 years’ experience in the Financial Services industry, having worked with firms like asset managers, private banks or wealth managers, sovereign wealth funds, pension funds, private equity firms or hedge funds
Academic background in Engineering, IT, Business, Economics, Finance or Accounting
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Work in our specialist forensic technology data analytics lab and on site to help clients leverage knowledge from their data for measurement of fraud risks and losses, prevention, continuous
monitoring, detection and investigation of occupational fraud, waste and abuse, financial crime and other form non-compliant activities.
Work with clients, fraud examiners, internal and external auditors, lawyers and regulatory authorities in sometimes sensitive and adversarial situations.
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Collaborate with application developers and database administrators to deliver creative solutions to difficult technology challenges and business requirements
Plan and design security architectures for cloud cloud/hybrid systems
Ability to automate security controls, data, and processes to provide improved metrics and operational support
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Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions.
Conduct rapid prototyping, PoCs and experiments in AI agent frameworks (e.g. Lang Framework including Langchain, LangFlow, LangGraph & LangSmith or LlamaIndex)
Ensure good code quality, packaging meeting production deployment requirements and maintainability through best practices in software engineering.
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Strong presentation skills and proficiency in the use of PowerPoint, Word and Excel
Ability to direct high-performing teams across the organization through strong leadership, coaching and mentoring skills.
Bachelor or Master Degree with a minimum of 6 years’ working experience, preferably with experience a business consulting role in a leading consultancy firm.
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Leverage data platforms and solutions to help our clients visualise and better understand their data.
Provide thought leadership on how our clients can innovate with traditional or emerging technology tools and disrupt their current ways of working to extract greater value from their input.
Lead and support the creation of client proposals and business development initiatives.
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