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About the team:

As part of the Forensics & Integrity Services, our Forensic Data Analytics team provides advanced analytics services to support high profile and sensitive client matters such as fraud investigations, financial crime, disputes and litigations. Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. This is achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models.

About the role:

We are seeking a dynamic and experienced Senior Fraud Analyst to join our team. In this role, you will work closely with financial services clients to identify and analyse emerging fraud trends, develop, and implement effective fraud detection strategies, and provide expert guidance on fraud and scams prevention. You will collaborate with client teams to manage multiple priorities and deliver high-quality solutions. Acting as a subject-matter expert, you will address third-party fraud, APP scams, and money mules, ensuring clients receive the best advice and support in mitigating fraud risks. You will also have an opportunity to work on other Fin Crime and Litigation matters in this role.

Knowledge and experience with:

• Conducting data-driven analysis of emerging fraud and APP scam attacks, providing actionable recommendations to mitigate risks while balancing customer impact.
• Developing, testing, implementing, and monitoring fraud detection and prevention strategies, ensuring effectiveness and efficiency.
• Performing risk assessments of new and existing products/services to identify inherent and residual fraud risks within the product and recommending remediating actions.
• Collaborating with wide range of stakeholders to manage priorities and deliver high-quality fraud management solutions.
• Serving as a subject-matter expert on third-party fraud, APP scams, and money mules, acting as the primary contact for related queries and guidance.

• Proven experience in fraud, including knowledge of systems and controls used to detect and prevent fraud and APP scams.
• Demonstrate ability to implement improvements in fraud detection systems, such as -Feedzai/FeatureSpace/BioCatch/ Falcon/NICE Actimize etc.
• Proficient in using data analytics tools and technologies such as Python, SQL and Power BI to identify trends and develop recommendations.
• Strong problem solving, communication skills, capable of data storytelling and explaining fraud risks & controls to non-experts.