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 … investigative data linking, social network analysis, statistics, machine learning and large language models. About the role: We are seeking a dynamic and experienced Senior FraudAnalyst to join our team. In this role, you will work closely with financial services clients to identify and analyse emerging fraudMore ❯
The Customer Risk Monitoring team is responsible for implementing and maintaining the analytical intelligence that protects Teya and its customers from financial risks, including fraud, money laundering, and terrorism financing. Our goal is to minimise financial losses and risk exposure while supporting and maintaining our customers' trust and ensuring … Risk, Platform Engineering and product leaders to build and continuously improve the intelligence powering our detection and monitoring systems. The role As a Data Analyst in the Customer Risk Monitoring team, you will: Develop and refine the intelligence used to detect financial crime, balancing efficacy with operational efficiency to … data engineering to design and maintain scalable, reliable data models and ETLs that underpin both operational and strategic use cases Help define and analyse fraud and AML KPIs, helping the business plan and course-correct with confidence Promote a culture of data-driven decision-making across the organisation Qualifications More ❯
The Customer Risk Monitoring team is responsible for implementing and maintaining the analytical intelligence that protects Teya and its customers from financial risks, including fraud, money laundering, and terrorism financing. Our goal is to minimise financial losses and risk exposure while supporting and maintaining our customers' trust and ensuring … Risk, Platform Engineering and product leaders to build and continuously improve the intelligence powering our detection and monitoring systems. The role As a Data Analyst in the Customer Risk Monitoring team, you will: Develop and refine the intelligence used to detect financial crime, balancing efficacy with operational efficiency to … data engineering to design and maintain scalable, reliable data models and ETLs that underpin both operational and strategic use cases Help define and analyse fraud and AML KPIs, helping the business plan and course-correct with confidence Promote a culture of data-driven decision-making across the organisation Qualifications More ❯
