Fraud Analyst

Abound

About Abound We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us. We’re looking for an experienced individual to join us as a Complaints Specialist. This role sits at the heart of our customer operations and requires a strong balance of customer service expertise, analytical thinking, and sound business judgement. You’ll focus on ensuring fair and consistent outcomes for customers by managing complaints in line with individual circumstances, regulatory standards, and company values. This role will also involve supporting payment reconciliation, chargeback processing, credit file disputes & fraud investigations. You’ll work closely with the wider operations team in our Milton Keynes office, this is a hybrid position, requiring 3 days per week in MK and flexibility on the other 2 days. There’s also a monthly trip to our Central London office (travel expenses covered). Who you are: * Experience: 3–5 years’ experience in a complaints handling role within financial services, ideally lending. * Knowledge: In-depth understanding of FCA regulations and UK financial regulatory frameworks. * Skills: Analytical and confident in resolving complex complaints, with a structured and customer-first approach. * Communication: Empathetic and professional in written and verbal comms, especially under pressure. * Detail-oriented: Meticulous with documentation, case logs, and root cause analysis. What you’ll be doing * Complaint Handling: Manage business-as-usual (BAU) complaints from start to finish, ensuring responses are accurate, fair, and regulatory compliant. * Customer Communication: Be the main point of contact for escalated customer complaints, providing timely, empathetic, and clear updates throughout. * Regulatory Compliance: Ensure your casework aligns with FCA complaint handling standards and any other relevant obligations. * Root Cause Analysis: Investigate complaint trends and root causes. Work cross-functionally (e.g. with Underwriting, Collections) to compile accurate responses and identify areas for improvement. * Reporting: Support complaints reporting and MI activities. Share insights with senior management and escalate emerging issues where appropriate. * Support Other Teams: While you won’t manage complaints escalated to the Financial Ombudsman Service (FOS) yourself, you’ll provide documentation and insight to the team responsible for those. * Documentation: Maintain accurate and timely logs for all complaints in line with internal procedures and system requirements. * Wider Ops Support: Support the operations team with occasional work in fraud handling, account-level queries, or other process-related escalations as needed. What we offer * Everyone owns a piece of the company - equity * Hybrid with 3 days a week in the office * 25 days’ holiday a year, plus 8 bank holidays * 2 paid volunteering days per year * One month paid sabbatical after 4 years * Employee loan * Free gym membership * Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering

Resurs Bank AB

Are you driven by analytics, automation, and stopping fraud before it happens? Join our fintech bank and help us design the next generation of data-driven fraud prevention in Sweden. As a Fraud Analyst, you will work at the intersection of data science, risk, and real-time decisioning. You will develop, test, and optimize fraud detection models across lending, cards, and payments. Your analyses will directly influence risk appetite, customer experience, and portfolio performance. You will: Analyze large, complex datasets to detect fraud patterns and emerging attack vectors Develop and maintain fraud models, rules, and monitoring frameworks Build dashboards and reporting that translate risk signals into actionable insight Partner closely with Fraud Prevention, Credit Underwriting, IT, and Data Engineering Continuously improve automation, decision engines, and model performance This is a hands-on role in a fast-moving environment where your work directly impacts loss rates, approval rates, and customer trust. Who you are 5+ years’ experience in data science, analytics, or quantitative risk roles within a bank, fintech or related industry Strong knowledge of machine learning, statistical modeling, and model validation Advanced SQL and Python (R is a plus) Experience with BI and visualization tools (e.g. Power BI, Tableau, Qlik, SAS) Comfortable working with large datasets and production-grade decision systems Able to translate complex analysis into clear, business-driven recommendations Experience in financial fraud prevention or fraud risk management is highly meriting You are analytical, commercially minded, and motivated by solving adversarial problems in real time. You thrive in a fintech environment where speed, ownership, and impact matter. Resurs in brief At Resurs, we make everyday finances easier through innovative and customer-focused solutions. With customers across the Nordics and more than 800 colleagues, we are committed to creating long-term value for individuals, businesses, and society. Recognized as a career company for the past six years, we put strong emphasis on both personal and professional growth. We want to make a difference by striving to be our best, acting with kindness, and building trust through clarity and collaboration. Our heart beats strong and it shows in everything we do. Although we are based in the Nordics, our team is enriched by the breadth of perspectives brought by colleagues from different countries. We foster a welcoming and supportive culture, where collaboration drives us to achieve the best outcomes for our users. Apply today! Don’t wait to send in your application. Selection and interviews take place on an ongoing basis, and the position may be filled before the last application date. We look forward to hearing from you! Important information On final candidates, we carry out a detailed background check via an external company. #LI-LN1

Prolific

FRAUD ANALYST UK REMOTE WITH SOME LONDON TRAVEL   Prolific Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.   The role We are looking for a high-ownership Fraud Analyst to step into a pivotal role within Prolific’s world class Integrity Team. This isn't just a support role; you are the "Human-in-the-Loop" who bridges the gap between our complex fraud models and the real-world experience of our researchers and participants. You’ll be the source of truth for our "golden sets," the expert voice in our Slack channels, and the person who turns manual investigations into product improvements. We need someone who is data-curious, possesses an investigator’s mindset, and is ready to take accountability for the quality of our participant pool.   What you’ll bring to the role * This role is a hands on Fraud analyst role for a stand out candidate with strong critical thinking, AI- and data-literacy, and a huge amount of drive. * Extreme Ownership: You’re the type of person who sees a "huge hole" and immediately starts filling it. You don't wait for a ticket to tell you something is wrong; you dive in and find the root cause. * The "Investigator" Mindset: You enjoy the "whodunnit" aspect of fraud. You can spot patterns, cross-reference multiple data points, and remain objective when a participant claims the system made a mistake. * Aspiring Data Literacy: You don’t need to be a Data Scientist, but you should have a hunger to become data-literate. You’re comfortable (or willing to learn) diving into databases and collaborating with technical teams to get the answers you need. * Practical Communication: You can take a complex technical ban and explain the "why" to a researcher or support agent in a way that is clear, firm, and helpful. * Adaptability: The fraud landscape changes every week (especially with LLMs and bots). You’re excited by the idea of a role that evolves and offers room to grow into more technical or strategic areas as you settle in. * Systems Thinking: You understand that a marketplace is an ecosystem. You have the ability to foresee how tightening a rule on the participant side might accidentally impact the researcher experience, or how an engineering change might shift fraud to a different part of the product. A "Trust but Verify" Mentality: You possess a healthy dose of skepticism. You default to assuming positive intent from our users, but you rely on hard data and undeniable proof before closing a case. Even better if you have * Familiarity with AI training data workflows, labeling platforms, or crowdsourcing tools is a strong advantage.   What you’ll be doing in the role  * Crossfunctional Problem Solving: You’ll work with Data Science, Product, Engineering, Support, and Human Data teams every day. * Deep-Dive Investigations: You’ll review data quality reports from researchers, cross-referencing participant IDs against our internal data to validate fraud claims. You’ll recommend a response to the researcher and ensure that bad actors are restricted based on your findings. * Second-Line Expert Support: You’ll act as the escalation point for our Support team. You’ll handle the tricky edge cases, ban appeals, and "system-says-no" moments where human judgment is needed to override or validate the algorithm. * Sonar Audits & Prevalence Tracking: You will lead our "Sonar" reviews - a regular audit of our participant network. Your work here directly generates our "bad actor prevalence" and "fraudulent submission" metrics, which are the primary KPIs for how we track our success against fraud. The other side of the coin - you’ll audit our ban decisions to measure fairness and participant experience through overturn rates. * Model Training & Feedback Loops: You’ll partner closely with Data Science to review "high risk" participants flagged by our fraud models. Your manual reviews will provide the vital "golden set" of data that allows us to tweak and improve our ML models. * Operational Innovation: We don’t want you just to follow the process - we want you to break and fix it. You’ll be constantly looking for ways to automate your own tasks, suggest product features to the engineers, and make life easier for our Support team. * Policy Design & Refinement: As you encounter edge cases and new fraud vectors, you won't just solve the immediate ticket. You will write, refine, and document the internal policies and standard operating procedures that govern how our platform defines "acceptable use." * Balancing Friction vs. Growth: You will be a key voice in the room when Product launches new features. You'll advise on potential fraud loopholes and help strike the delicate balance between keeping bad actors out and keeping the onboarding experience seamless for good participants.   Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.   Links to more information on Prolific Benefits  External Handbook  Website  Youtube    Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.