4 of 4 Remote Risk Analytics Jobs in the UK excluding London

/08/2025 Are you ready to turn data into action? Thames Water is looking for a skilled and driven Collections Data Scientist to join our dynamic Credit Risk team. What you will be doing as the Collections Data Scientist : In this pivotal role, you will help shape data-led strategies that enhance customer experience and reduce bad … making a real impact on millions of lives across the region. As part of a priority investment area, this is your chance to work at the forefront of Credit Risk Analytics, supporting smarter collections through advanced insight and proactive debt prevention. Working closely with a talented team and senior stakeholders, you'll help deliver best-in-class portfolio … management, drive innovation in our data capabilities, and ensure analytics are seamlessly aligned with our digital infrastructure. Key accountabilities: Deep dive analysis: Conduct deep-dive analysis into customer portfolio trends to identify root causes of debt accumulation, enabling preventative measures to be implemented. Create and refine predictive models: Develop and refine predictive models and analytical frameworks to improve credit More ❯

of purpose, belonging and wellbeing. About the team Protecting our customers and business from fraud is at the heart of what we do. You'll join our dedicated Fraud Risk Analytics team of 5 (within our Credit Risk department of c.60 FTE) working in a fast-paced, collaborative environment where your ideas can make a real impact. … of a friendly, knowledgeable team and a chance to grow your skills in a business that moves quickly and values your input. About the Role As a Senior Fraud Risk Strategy Analyst, you'll use data to spot fraud risks and develop smart, effective solutions to stop them. Key Responsibilities: Analyse fraud trends and behaviours using large datasets to … for improvement. Deliver clear, compelling insights and recommendations to stakeholders across the business. Collaborate closely with our operational fraud prevention team (based in Bolton and Speke) and wider Credit Risk colleagues. Manage multiple priorities in a dynamic environment, balancing day-to-day analysis with longer-term strategic improvements. You'll have the freedom to make critical decisions, see their More ❯

We are looking for a Senior Product Manager with experience gained from a B2B sector, to manage and accelerate the growth of our Ascend Analytics products for model lifecycle management. This will be from build to deployment to governance management, and the application in combination with data for credit risk analytics across multiple markets including consumer and … help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial … fraud prevention data Experience using AI/ML within products Experience with model lifecycle management processes (build, deploy and governance management). Experience of the lenders JTBD in the risk and affordability decision flows for new and existing customers. Awareness of relevant regulation and regulators. (FCA/PRA, SS1/23, others) Successful background in creating go to market More ❯

to increase average games played per month and overall revenues. User Segmentation: Identify and profile different user segments, uncovering behavioural patterns to inform tailored marketing and product strategies. Fraud & Risk Detection: Detect and flag suspicious behaviours, such as multiple account creation or abnormal winning patterns, to protect our community and business. Onboarding & Payments: Analyse and improve the signup and … Masters degree in a relevant field is a strong plus, especially with hands-on experience in gaming, betting, or consumer apps. Equivalent professional experience (2+ years in a similar analytics or data science role) will also be considered in place of an advanced degree if you can demonstrate direct impact in similar environments. What Were Looking For: Proven experience … as a Data Scientist or in a similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with More ❯