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- Tasks: Analyse fraud data and optimise risk management strategies for Visa clients across Europe.
- Company: Join Visa, a leading global payments technology company with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in fraud prevention while collaborating with global teams.
- Qualifications: Experience in fraud prevention, strong data analytics skills, and knowledge of SQL or Python.
- Other info: Dynamic role with opportunities to develop client relationships and enhance security solutions.
The predicted salary is between 36000 - 60000 £ per year.
Visa Consulting and Analytics (VCA) is the consulting arm of Visa, driving tangible, impactful and financial results for Visa’s network clients, including both financial services and merchants. VCA Implementation Services (VIS) supports the execution and implementation of recommendations to help scale competitive advantage and operate to succeed in the digital age.
As a Fraud Risk Analyst, you will help Visa clients across Europe optimise their fraud prevention strategies and strengthen their overall risk management framework. You’ll analyse fraud data, design tailored recommendations and deploy solutions that enhance security and client performance. You’ll act as a subject matter expert on transaction risk, supporting clients in improving payment operations and collaborating with regional and global teams to scale best practices.
What we expect of you, day to day:
- Lead risk optimisation projects for multiple clients, including performance reviews, rule recommendations, and deployment.
- Analyse fraud and risk data to uncover insights and develop actionable recommendations.
- Build strong client relationships to enhance Risk Management revenue growth and long‑term client retention.
- Collaborate with global teams to standardise and scale consulting engagements and share best practices.
- Develop collateral and resources, including case studies, presentations, and training materials.
- Maintain accurate documentation on SharePoint and other platforms.
- Support new business lines and contribute to the wider risk practice through training and knowledge sharing.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications:
- Experience in fraud prevention and risk management within financial services.
- Strong data analytics skills and ability to turn insights into actionable recommendations.
- SQL, Python, or R (for data analysis and fraud‑modelling support).
- BI tools such as Tableau, Power BI, or Looker.
- Experience with Visa-specific platforms would be advantageous (VRM, VAA, VCAS, Visa Risk Manager Dashboards).
- Familiarity with fraud prediction models and consumer fraud risk trends.
- Understanding of EU risk regulations and compliance requirements.
- Advanced PowerPoint and Excel skills.
- Fluent in English (written and verbal).
Personal Attributes:
- Creative problem-solver with strong strategic thinking.
- Self-motivated and results-oriented, able to manage multiple projects.
- Excellent communicator with strong presentation and storytelling skills.
- Collaborative team player who can influence across functions.
- Flexible and organised, with the ability to prioritise effectively.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Fraud Risk Analyst in London employer: Visa
Contact Detail:
Visa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Risk Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Visa or similar companies. A friendly chat can lead to insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in fraud prevention and data analytics. This will give you an edge during interviews and show that you're ready to tackle real-world challenges.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to fraud risk analysis. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨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 you’re genuinely interested in joining the team at Visa.
We think you need these skills to ace Fraud Risk Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Fraud Risk Analyst. Highlight your experience in fraud prevention and risk management, and don’t forget to mention any relevant data analytics skills you have. 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 tell us why you're passionate about fraud prevention and how your skills align with what we’re looking for. Be sure to mention any specific tools or methodologies you’ve used that relate to the job description.
Showcase Your Data Skills: Since this role involves a lot of data analysis, make sure to highlight your proficiency in SQL, Python, or R. If you've worked with BI tools like Tableau or Power BI, give us examples of how you've used them to drive insights and recommendations.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Visa
✨Know Your Fraud Landscape
Before the interview, dive deep into the current trends in fraud prevention and risk management. Familiarise yourself with Visa's specific platforms and tools like VRM and VCAS. This knowledge will not only impress your interviewers but also show that you're genuinely interested in the role.
✨Showcase Your Data Skills
Be ready to discuss your experience with data analytics tools such as SQL, Python, or Tableau. Prepare examples of how you've turned data insights into actionable recommendations in past roles. This will demonstrate your ability to analyse fraud data effectively.
✨Build a Client-Centric Mindset
Since building strong client relationships is key, think of examples where you've successfully collaborated with clients or stakeholders. Highlight your communication skills and how you’ve influenced decisions in previous projects to enhance client satisfaction.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Practice articulating your thought process when faced with a fraud risk challenge. This will showcase your strategic thinking and creativity in tackling complex issues.
