At a Glance
- Tasks: Investigate fraud cases and analyse data to provide actionable insights for enterprise customers.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment and fraud detection.
- Benefits: Generous holiday allowance, health benefits, wellbeing programs, and extensive learning resources.
- Other info: Collaborative team environment with opportunities for continuous learning and career growth.
- Why this job: Make a real-world impact by protecting billions in revenue from fraud.
- Qualifications: Experience in fraud analysis, strong SQL and Python skills, and excellent analytical abilities.
The predicted salary is between 36000 - 60000 € per year.
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 daysHealth screening, eye care vouchers and private medical benefitsWellbeing programs Life Assurance Access to a competitive contributory pension schemeSave As You Earn share option schemeTravel Season ticket loanElectric Vehicle SchemeOptional Dental InsuranceMaternity, paternity and shared parental leaveEmployee Assistance ProgrammeAccess to emergency care for both the elderly and childrenRECARES days, giving you time to support the charities and causes that matter to youAccess to employee resource groups with dedicated time to volunteerAccess to extensive learning and development resourcesAccess to employee discounts scheme via Perks at Work
Senior Fraud Data Analyst employer: LinkedIn
At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that prioritises employee wellbeing and professional growth. Our collaborative work culture fosters innovation and continuous learning, allowing you to engage with cutting-edge fraud detection technologies while making a real impact in the fight against financial crime. With generous benefits, including a competitive pension scheme, health screening, and opportunities for community involvement, we ensure that our team members thrive both personally and professionally in a dynamic environment.
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Fraud Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at LexisNexis Risk Solutions on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your SQL and Python prowess. Bring it up during interviews to demonstrate your analytical abilities and problem-solving mindset.
✨Tip Number 3
Be ready to discuss real-world scenarios. Think of examples where you've tackled fraud issues or improved detection accuracy. This will show you're not just about theory but can apply your knowledge practically.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team at LexisNexis Risk Solutions.
We think you need these skills to ace Senior Fraud Data Analyst
Fraud Investigation
Data Analysis
SQL
Python
Fraud Detection Tools
Report Creation
Attention to Detail
Critical Thinking
Sound Judgement
Customer Engagement
Storytelling with Data
Collaboration
Continuous Learning
Innovation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Fraud Data Analyst role. Highlight your experience with fraud detection tools and data analysis skills, especially in SQL and Python. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about fraud analysis and how your skills can help us tackle complex challenges. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Analytical Skills:In your application, don’t forget to highlight specific examples of how you've used your analytical skills to solve problems. We love seeing real-world applications of your knowledge, so share those insights that led to impactful results!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at LinkedIn
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in fraud detection. Having specific examples of how you've improved fraud detection accuracy or minimised false positives will really impress them.
✨Understand the Business
Familiarise yourself with LexisNexis Risk Solutions and their approach to fraud prevention. Knowing their products and how they help businesses tackle fraud will show that you're genuinely interested in the role and can contribute from day one.
✨Prepare for Scenario Questions
Expect to be asked about complex fraud cases you've handled. Prepare a few examples where you uncovered trends and provided actionable recommendations. Highlight your analytical process and the impact of your recommendations on reducing risk.
✨Communicate Clearly
Since you'll be presenting findings to both technical and non-technical audiences, practice explaining your insights in a clear and engaging way. Use storytelling techniques to make your data relatable and impactful, ensuring you can convey your message effectively.
