Senior Data Analyst - Fraud Analytics

Overview

looking for a Senior Fraud Analyst to join our growing Fraud Analytics team s role plays a critical part in protecting our customers and the business from fraud, using data, analytics and judgement to drive real-time and strategic decisioning. You will lead complex fraud analysis independently, support incident response, and act as a senior analytical escalation point within the team.

• Leading end-to-end fraud analysis using SQL and Python to detect, investigate and mitigate fraud risks
• Taking real-time analytical input into fraud blocks, controls and interventions
• Acting as a senior point of escalation during fraud incidents, supporting prioritisation and decision making
• Optimising fraud rules and supporting the monitoring of machine learning models
• Improving onboarding and account-level controls to prevent bad actors entering the ecosystem
• Creating and maintaining fraud reporting and dashboards using Tableau
• Working closely with Fraud Strategy, Fraud team and related stakeholders

Hello there. We re Zopa. We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don t like about finance and does the opposite. We re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre - we ve built a business that empowers everyone to aim high, every day, to move finance forward.

Find out more about our fantastic offerings at ! We re incredibly proud of our achievements and none of it would be possible without the amazing team here. It s not just industry awards we re winning, we ve also been named in the top three UK s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you ll thrive here at Zopa, so join us, and make it count.

Want to see us in action? Follow us on Instagram @zopalife

We are, Operations, Product and Engineering teams

• Analytical experience with advanced SQL
• Python experience for data analysis
• Proven ability to own complex, ambiguous analytical problems end-to-end
• Experience translating analysis into clear, actionable recommendations
• Confidence working with senior stakeholders in a fast-paced environment
• Ability to remain calm and make sound decisions under pressure
• Experience in fraud, financial crime or risk analytics is a plus
• Exposure or an interest in fraud decisioning systems or real-time monitoring tools
• Prior experience in using live decisioning systems or working with machine learning models
• Background in Fraud/ Fincrime (or similar setting)
• Fintech, banking or high-growth tech environments would be ideal

This role is ideal for someone looking for the next step in their analytics career, who wants to continue to build strong technical skills while working on meaningful, high-impact problems. This hybrid role requires you to come to our London office 2-3 days a week. You ll also have the option of working from abroad for up to 120 days a year!

We value flexible ways of working. We value face-to-face collaboration and a good work-life balance. Subject to having the right to work in the country of choice, Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DEI forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work.

Our approach to DEI is reflected in our hiring process so please let us know if you require any reasonable adjustments. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.