Assurance - Financial Services - Forensic Data Analyst - Senior - London

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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 real time fraud detection / prevention, 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.

Your key responsibilities:

• Work with financial services clients, fraud strategy, fraud analytics, fraud investigators, internal and external auditors, lawyers and regulatory authorities in sensitive situations

• Communicate with clients to scope projects and gather requirements

• Highlight and explain the outputs of our analytics to clients in the context of their business

• Be responsible for end-to-end delivery of projects across the full lifecycle - Data extraction, transformation, loading (ETL), analysis, visualisation, deployment and client delivery

• Handle a large amount of structured and unstructured data from a variety of data sources

• Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI.

• Supervise the work of junior team members and be responsible for quality control of work products from the team

• Develop algorithms and solutions to detect, respond, prevent, continually monitor and investigate areas of fraud, bribery & corruption, misconduct and financial crime

• Apply analytic techniques to prevent, detect, monitor or investigate potentially improper transactions, events or patterns of behaviour related to misconduct, fraud and non-compliance issues