Fraud Analytics Senior Specialist
2 days ago
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
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?
About the role
• You will be leading the Fraud Analytics capabilities for all Zopa products, ensuring that we balance the need to protect our customers and Zopa against fraud, whilst balancing customer experience and complying with the relevant policies and regulatory changes. You will play a crucial role in understanding, managing and improving the detective and preventative controls that relate to Fraud, reporting directly to the Director of Fraud.
• You will be responsible for understanding Zopa products to ensure that you have meaningful insight on their fraud performance, risks and weak areas where we need to improve our controls, working together with cross-functional teams to deliver enhancements, where necessary. As the Fraud Analytics Senior Specialist you will collate data and intelligence, performing data analyses, developing insight to support fraud investigations and reviews as well as managing BAU reporting. You will use the insight developed to manage fraud systems and their ongoing optimisation to ensure adherence to agreed KPIs & KRIs.
• Of course, you wont be doing this alone. Collaboration is in our Zopa DNA which means youll be part of a cross-functional squad of talented and passionate colleagues working together from concept through to delivery. There’s no room for ivory tower thinking and dishing out requirements - you’ll need to work proactively and collaboratively from the ground up, engaging stakeholders, getting their buy in and most importantly making sure were building the right things.
• This is an opportunity that can give a lot of scope to supercharge your career within a fast-scaling FinTech that is looking to IPO soon. If this challenge excites you, wed love to hear from you
A day in the life
• Prepare reports and visualisations to present your findings to stakeholders to support fraud decision making
• Ensure your work and the work of those supporting you is high quality and meets quality and risk standards
• Develop and run controls to identify and monitor known and emerging risks and escalating any breaches to ensure that these are reported and mitigated effectively and timely
• Work with stakeholders to deliver and present analysis and insight into fraud risks and develop analytical processes to mitigate the risks identified
• Manage BAU as well as regulatory & compliance reporting
About you
• You have experience working in a data intensive role. Ideally, you also have experience of working in a Fraud environment.
• You have proven technical ability in generating insight using technology and analytics over datasets and communicating this insight in a variety of forms such as presentations, formal reports and data visualization
• You have demonstrable experience in delivering insight using data analytics to a non-technical audience
• You are independent, pro-active and have a confident approach in managing your workload, you have experience of independently delivering data analytics tasks as well as working with and / or helping others to achieve this
• You have excellent stakeholder management skills. You are comfortable and adept at navigating competing priorities, resolving ambiguity and managing demanding expectations under pressure.
• You have proven technical ability in one or more of the following areas:
• Recent use of SQL or other software / programming languages (e.g. SAS, VBA, R, Python)to create and analyse datasets
• Recent use of data visualisation tools (e.g.Tableau, Power BI, Excel)
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