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- Tasks: Identify fraud trends and develop rules to combat them using data analysis.
- Company: A growing travel tech company based in London with a focus on innovation.
- Benefits: Competitive salary, equity options, and remote work flexibility.
- Why this job: Join a dynamic team and make a real difference in fraud detection.
- Qualifications: Experience in data analytics, problem-solving skills, and SQL proficiency.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 28800 - 48000 £ per year.
A growing travel technology company in London is seeking a Fraud Analyst to identify fraud trends and develop mitigation rules. The role involves analyzing data, formulating detection rules, and partnering with data science and engineering teams to enhance fraud detection processes.
Candidates should have experience in data analytics, a knack for solving problems with data, and proficiency in SQL.
This position offers excellent perks including a competitive salary and equity options.
Fraud Analytics Specialist – Remote, Equity employer: Duffel
Contact Detail:
Duffel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Analytics Specialist – Remote, Equity
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry, especially those working in fraud analytics. 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 that involve fraud detection. This will help us see your problem-solving abilities in action and make you stand out.
✨Tip Number 3
Prepare for the interview by brushing up on SQL and data analysis techniques. We love candidates who can demonstrate their technical prowess, so be ready to discuss how you've used these skills in real-world scenarios.
✨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 who want to make a difference in fraud analytics.
We think you need these skills to ace Fraud Analytics Specialist – Remote, Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and problem-solving with data. We want to see how your skills align with the role of a Fraud Analytics Specialist, 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 detection and how your background makes you a perfect fit for our team. Let us know what excites you about working with data and solving complex problems.
Show Off Your SQL Skills: Since proficiency in SQL is key for this role, make sure to mention any relevant experience you have with it. If you've worked on specific projects or analyses using SQL, give us the details – we love seeing practical examples!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Duffel
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills before the interview. Be prepared to discuss specific examples of how you've identified fraud trends in the past and the methods you used to analyse data. This will show that you have the practical experience needed for the role.
✨SQL Skills Are Key
Since proficiency in SQL is a must-have, practice writing queries and be ready to demonstrate your SQL knowledge during the interview. You might be asked to solve a problem on the spot, so having a few sample queries in mind can really help you shine.
✨Collaborate Like a Pro
This role involves working closely with data science and engineering teams, so be prepared to talk about your experience collaborating with others. Share examples of how you’ve partnered with different teams to enhance processes or solve complex problems.
✨Show Your Problem-Solving Skills
Fraud detection is all about solving problems with data. Think of a few challenging situations you've faced in your previous roles and how you tackled them. Highlight your analytical thinking and creativity in developing mitigation rules to impress your interviewers.
