Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Fraud Data Analyst

LexisNexis Risk Solutions
City of London
1 week ago
Create job alert

About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com

About our Team: You will be part of a team of analysts using global data from the largest real-time fraud detection platform to optimise solutions for our enterprise customers.


About the role: As a Senior Fraud Data Analyst, you’ll use global data from the largest real-time fraud detection platform to deliver valuable solutions for our enterprise customers. You will apply your expertise in fraud and large-scale data analysis to investigate suspicious behavior and provide insights that lead to immediate real-world impact. You will underline the value of your recommendations by leveraging your deep experience with operational measures within industry and your ability to quickly translate customers’ fraud KPIs into opportunities. You’ll leverage a real-time platform analyzing billions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e-Commerce and On-Demand Services. These tools will allow you to attain a unique perspective of the Internet and every persona connected to it. You’ll be continually collaborating with customer-facing account teams, external business leaders and risk managers to shape world-class fraud solutions. The comprehensive solutions that you build will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue.


Responsibilities:

  • Fraud Investigation: Review complex fraud cases to uncover trends and provide actionable recommendations that help customers reduce risk and build trust.
  • Data Analysis: Apply SQL and Python to analyse customer data, improve fraud detection accuracy, and minimise false positives. Deliver insights through clear reports and implement rule changes in the ThreatMetrix® engine.
  • Consulting Approach: Understand customer needs across industries through effective questioning. Share best practices with fraud and risk professionals.
  • Customer Engagement: Communicate professionally with customers via phone, email, and chat, ensuring a positive experience.
  • Storytelling with Data: Present findings clearly to technical and non-technical audiences, using data to support decision-making.
  • Continuous Learning: Stay up to date on cybercrime trends such as account takeover, scams, social engineering, and money laundering.
  • Team Contribution: Share knowledge and support the development of the wider analytics team.
  • Innovation: Explore new ways to address complex fraud challenges and contribute to research on emerging threats.
  • Collaboration: Work closely with teams across Product, Engineering, Sales, and Professional Services to refine and improve fraud strategies.


Requirements:

  • Experience in fraud, financial crime, security, or payments, ideally within large organisations.
  • Excellent analytical skills with experience in SQL and Python.
  • Ability to work with large and small datasets to identify meaningful patterns.
  • Experience with fraud detection tools (e.g. ThreatMetrix, Featurespace, Hunter, Iovation, BioCatch, Actimize Falcon).
  • Skilled in creating reports for diverse audiences, including executives.
  • Attention to detail, critical thinking, and sound judgement.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Fluency in additional EMEA languages is a plus, but not required.



Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Generous holiday allowance with the option to buy additional days
  • Health screening, eye care vouchers and private medical benefits
  • Wellbeing programs
  • Life Assurance
  • Access to a competitive contributory pension scheme
  • Save As You Earn share option scheme
  • Travel Season ticket loan
  • Electric Vehicle Scheme
  • Optional Dental Insurance
  • Maternity, paternity and shared parental leave
  • Employee Assistance Programme
  • Access to emergency care for both the elderly and children
  • RECARES days, giving you time to support the charities and causes that matter to you
  • Access to employee resource groups with dedicated time to volunteer
  • Access to extensive learning and development resources
  • Access to employee discounts scheme via Perks at Work

Related Jobs

View all jobs

Senior Fraud Data Analyst

Senior Data Analyst

Senior Fraud Strategy Data Analyst - Control Optimisation | London, UK

Senior Data Analyst - Fraud Analytics

Senior Data Analyst - Anti-Fraud & Quality Intelligence

Senior Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.