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- Tasks: Analyse data to prevent fraud and develop innovative strategies.
- Company: Dynamic travel tech company based in Greater London.
- Benefits: Competitive salary, equity opportunities, and flexible hybrid work model.
- Why this job: Join a team that values innovation and security in travel transactions.
- Qualifications: Experience in data analysis and a passion for fraud prevention.
- Other info: Opportunity to work with talented teams and grow your career.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic travel tech company in Greater London is seeking a Fraud Analyst to enhance their fraud prevention strategies using data analytics. The successful candidate will analyze large datasets, develop rules to curb fraudulent behavior, and work closely with the data science and engineering teams.
This position offers competitive salary, equity opportunities, and a hybrid work model that encourages flexibility and innovation in ensuring secure travel transactions.
Fraud Analyst — Data-Driven Guardian (Remote) in London employer: Duffel
Contact Detail:
Duffel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Analyst — Data-Driven Guardian (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry, especially those working in fraud prevention. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, especially any related to fraud detection. This will help us see your practical experience and how you can contribute to our team.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of fraud prevention strategies and data analysis tools. We love candidates who can discuss real-world applications and bring fresh ideas to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals ready to make a difference in secure travel transactions.
We think you need these skills to ace Fraud Analyst — Data-Driven Guardian (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analytics and fraud prevention. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about fraud analysis and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Analytical Skills: Since this role is all about data, make sure to mention any specific tools or methodologies you’ve used in your previous roles. We’re keen to know how you’ve tackled data challenges and what insights you’ve derived from large datasets.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Duffel
✨Know Your Data
As a Fraud Analyst, you'll be diving deep into data analytics. 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 patterns and how data can help identify them.
✨Understand the Company’s Mission
This travel tech company is all about secure transactions. Research their current fraud prevention strategies and think about how you can contribute. Showing that you understand their mission and values will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to face technical questions related to data analytics and fraud detection. Brush up on your knowledge of algorithms, data modelling, and any relevant programming languages. Be prepared to solve problems on the spot or discuss case studies from your previous experience.
✨Show Your Collaborative Spirit
Since this role involves working closely with data science and engineering teams, highlight your teamwork skills. Share examples of how you've successfully collaborated with others in the past, especially in high-pressure situations. This will demonstrate that you're not just a data whiz but also a great team player.
