At a Glance
- Tasks: Analyse global data to craft fraud solutions for enterprise customers.
- Company: Join LexisNexis Risk Solutions, a leader in risk assessment.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Other info: Be part of a dynamic team with access to cutting-edge fraud detection technology.
- Why this job: Make a real-world impact by reducing fraud and enhancing customer experience.
- Qualifications: Experience in data analysis and a knack for investigating suspicious behaviour.
The predicted salary is between 40000 - 50000 € per year.
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 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.
As a Fraud Data Analyst, you’ll use global data from the largest real‑time fraud detection platform to craft solutions for our enterprise customers. Your experience with data analysis, investigating suspicious behavior and providing new insights to customers will lead to immediate real‑world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. 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 internal product and engineering teams, customer‑facing.
Fraud Data Analyst in London employer: Women in Data®
At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Fraud Data Analyst, you will have access to cutting-edge technology and global data, enabling you to make a significant impact in fraud prevention while enjoying ample opportunities for professional growth and development. Our commitment to employee well-being and a supportive environment makes us a top choice for those seeking meaningful and rewarding careers in the heart of the risk assessment industry.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at LexisNexis Risk Solutions on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss real-world examples of how you've tackled fraud detection or improved customer experiences. We want to see your problem-solving chops in action!
✨Tip Number 3
Showcase your passion for fraud prevention! During interviews, share your thoughts on current trends in fraud detection and how you can contribute to LexisNexis's mission. We love candidates who are genuinely interested in making a difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our team!
We think you need these skills to ace Fraud Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Fraud Data Analyst role. Highlight your experience with data analysis and any relevant projects that showcase your skills in investigating suspicious behaviour. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about fraud detection and how your background aligns with our mission at LexisNexis Risk Solutions. Let us know what makes you the perfect fit for this role.
Showcase Your Analytical Skills:In your application, don’t forget to highlight specific examples of your analytical skills. Whether it's through past work experiences or academic projects, we want to see how you've used data to solve problems and provide insights.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Women in Data®
✨Know Your Data
As a Fraud Data Analyst, you'll be working with vast amounts of data. Make sure you brush up on your data analysis skills and be ready to discuss specific tools and techniques you've used in the past. Familiarise yourself with common fraud detection metrics and how they apply to real-world scenarios.
✨Understand the Business
LexisNexis Risk Solutions focuses on risk assessment across various sectors. Research their solutions and think about how your role as a Fraud Data Analyst can contribute to improving customer experience and reducing fraud losses. Be prepared to share insights on how data can drive business decisions.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think of examples where you've identified suspicious behaviour or provided actionable insights from data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Show Your Collaborative Spirit
Collaboration is key in this role, so be ready to discuss your experience working with cross-functional teams. Highlight any projects where you've partnered with product or engineering teams to implement data-driven solutions. This will show that you can work well in a team-oriented environment.
