Revenue Assurance and Fraud Lead

About the role

This role leads revenue assurance and fraud activities for a UK telecoms business, covering billing validation, dispute resolution, fraud monitoring and control assurance. It also supports the offshore team in India and works closely with UK regulators.

Key responsibilities

• Identify and pursue opportunities to improve revenue, cost and margin, present business cases to management and lead them to delivery
• Develop and deploy AI and machine learning use cases with internal data teams for fraud detection, reconciliation, investigation and reporting
• Validate monthly MNO invoices and credit notes, and lead billing disputes and cost recovery with MNO and interconnect partners
• Steer and support monitoring of revenue assurance controls in the designated platform, and investigate issues with suppliers and internal teams
• Improve monitoring of telecoms and payments fraud and problematic customer behaviour, leading investigations and supporting mitigation
• Expand revenue assurance and fraud coverage across Light and Full MVNO operating models and their technology transformation
• Review process governance in the UK business, proposing improvements to controls on products and promotions
• Support UK regulatory compliance, including Ofcom General Conditions and the TMBS Metering and Billing Direction, and related reporting
• Identify data quality issues in the data lake on CDR and billing data and refer them to data teams
• Report fraud and assurance KPIs and trends to management, and collaborate with the offshore team in India

Required profile

• Minimum 5 years of relevant experience
• Track record of finding and delivering financial value from data, for example in telecoms, finance, fraud, risk or audit
• Experience applying machine learning or AI to business problems, or a strong appetite to do so
• Strong comprehension of billing mechanisms and the UK business, able to influence senior stakeholders
• Able to build relationships and communicate cross-functionally with Finance, Product, Sales & Marketing, Operations, Technology and Legal
• Telecoms experience is preferable but not essential

Required skills

• Strong analytical skills, deriving insights from structured and unstructured datasets such as CDRs and billing data
• Strong SQL skills: scripting and querying large datasets
• Advantageous: knowledge of revenue assurance, telecoms fraud and control assessment principles