Senior Fraud Strategy Data Analyst - Control Optimisation

Senior Fraud Strategy Data Analyst - Control Optimisation

Senior Fraud Strategy Data Analyst - Control Optimisation

Business Unit: Fraud
Salary Range: £39,200 - £55,000 per annum DOE + red-hot benefits
Location : UK Remote
Contract Type: Permanent

Our Team

It's an exciting time for us as we grow our Economic Crime (PROTECT) team who have a critical role to play, keeping us and our customers safe. They are our first line of defence function and responsible for day-to-day fraud and financial crime risk identification, ownership, management and control.

As a member of the Fraud Strategy department, you will play a pivotal role in ensuring that fraud controls are optimised and proportionate, adopting a balanced approach to risk mitigation and customer experience. You'll work closely with stakeholders in commercial, Fraud Analytics, Cyber Security, Operations, technology teams to develop build and amend strategies to prevent fraud at source. We're seeking an analytical, innovative SME who is passionate about making an impact.

What you'll be doing

• Support the Control Development & Optimisation Lead with the development and optimisation of fraud controls to combat all fraud typologies.
• Utilise data & insights from a variety of different sources to understand drivers of customer friction, owning the development and delivery of strategies to improve customer experience.
• Developing automated monitoring to identify emerging trends and to maintain oversight of upstream control performance.
• Adopting a data-driven approach to support flash fraud attacks and fraud incidents across all typologies.
• Working collaboratively with the Internal Fraud Strategy Manager to develop automated controls to detect anomalous behaviour for onward investigation.
• Developing and monitoring a range of KRI's to provide effective oversight of the control landscape throughout the Virgin Money estate.
• Proactively scanning VM landscape to identify vulnerabilities within control framework.
• Keeping abreast of emerging technologies to support senior leaders in the consideration of proposals, RFPs and general industry insight to support with change and innovation.
• Provide ongoing input and analytical support to the fraud transformation agenda.

• Experience of developing and implementing successful fraud prevention strategies and initiatives to prevent fraud.
• Demonstratable experience of developing automated fraud controls with disparate data sources.
• Analytical with intermediate-level proficiency with one or more programming languages such as SAS, SQL, Python or R
• Experience influencing stakeholders and driving change throughout an organisation.
• Knowledge and understanding of fraud risk and industry trends to identify risks that may impact our organisation.
• Tenacious in approach with well-developed problem-solving skills, coupled with the ability to interpret complex data and identify actionable insights.
• Strong interpersonal skills, with the ability to effectively collaborate with cross-functional teams.

• Prior experience developing data-driven controls to detect and prevent internal fraud.
• Experience operating across multiple fraud typologies (e.g. Plastic, Non-plastic, Application, Mules).

• Generous holidays - 38.5 days annual leave (including bank holidays and prorated if part-time) plus the option to buy more.
• Up to five extra paid well-being days per year.
• 20 weeks paid, gender-neutral family leave (52 weeks in total) for expectant parents and those looking to adopt.
• Market-leading pension.
• Free private medical cover, income protection and life assurance.
• Flexible benefits include Cycle to Work, wellness and health assessments, and critical illness.

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