Senior Fraud Analyst

Business Unit: Customer Service and Operations, Fraud Analytics
Salary range: £39,200 - £49,000 per annum
Location: UK Hybrid with occasional travel to local hub
Contract type
:
Permanent full time

Our team sits at the heart of protecting our customers and the bank, combining sharp analytical thinking with real‑world impact. We're a curious, collaborative group who thrive on solving complex problems and staying ahead of emerging fraud threats. What makes us special is our culture of innovation and ownership – we don't just react, we shape the future of fraud prevention.

If you want to work somewhere that values expertise, encourages bold ideas, and genuinely influences customer safety every day, this is the place.

• Optimising and monitoring Non‑Plastic fraud detection systems and models.
• Configuring systems to keep fraud risk within appetite and budget.
• Tuning fraud defences to prevent fraud while minimising customer friction.
• Supporting the definition, tracking and management of the Non‑Plastic fraud loss budget.
• Producing accurate, relevant MI for governance and senior stakeholders.
• Delivering daily, weekly, monthly and quarterly fraud loss reporting.
• Providing SME analytics to support system maintenance, development and investment.
• Acting as an SME on fraud projects and incidents, engaging with internal teams and external partners.

• Extensive experience in Fraud Strategy analytics within UK Retail Banking, with deep understanding of Non‑Plastic fraud.
• Proven ability to optimise and manage fraud systems and losses within appetite and budget.
• Strong technical expertise in Python, SQL and analytics tooling, with hands‑on experience working with payment fraud platforms, models, rules and performance optimisation.
• Deep knowledge of industry‑standard fraud systems and data sources, including Non‑Plastic fraud controls and enrichment sources.
• Advanced analytical, problem‑solving and critical‑thinking skills, with the confidence to challenge effectively.
• Clear, influential communication skills to support SME input across projects, incidents and senior stakeholder forums.

• Experience working with Feedzai, behavioural data, or complementary analytics tools.
• Experience working with notebooks in Jupyter Labs and PySpark on large data frames.
• Exposure to industry forums, law‑enforcement collaboration, or external fraud intelligence networks.
• Practical understanding of machine‑learning concepts or model performance techniques that complement rule‑based systems.
• Knowledge of machine learning techniques and approaches to analysis.

• 25 days holiday per year, increasing over time to 30. Plus, an option to buy more, giving you even more choice.
• Private medical insurance
• A highly competitive pension to help you build a strong foundation for retirement
• Access to an annual performance‑related bonus
• Training and development to help you progress your career
• A great selection of additional benefits through our flexible benefits scheme
• Life assurance to provide peace of mind for you and your loved ones
• Up to 2 days of paid volunteering a year

If we're lucky to receive a lot of interest, we may close the advert early. Please ensure to submit your applications as soon as possible.

Virgin Money is so much more than just a bank. As part of the Nationwide group, together we're the UK's first full‑service mutual bank serving millions of retail and business customers and all driven by our purpose;
Banking but fairer, more rewarding and for the good of society. With us, you'll be part of an organisation uniquely positioned to make a difference to the lives of customers, communities and broader society and embark on a collaborative, customer obsessed, and fun‑filled career journey. Embrace the weekdays, enjoy fantastic perks, and make a meaningful positive difference. Time to discover what it means to be part of the first mutual full‑service banking provider.

At Virgin Money, we celebrate everyone. We have fun, think big, and relentlessly include each other, all in pursuit of our purpose:
Banking – but…