At a Glance
- 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 36000 - 60000 £ 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 in London employer: Duffel
Contact Detail:
Duffel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Analytics Specialist – Remote, Equity in London
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry or those already working as Fraud Analysts. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! When you get the chance, share your data analytics projects or any cool SQL queries you've crafted. This not only demonstrates your expertise but also shows your passion for the field.
✨Tip Number 3
Prepare for the interview by brushing up on common fraud detection scenarios. Think about how you'd tackle specific problems using data. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Fraud Analytics Specialist – Remote, Equity in London
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 great fit for our team. We love seeing enthusiasm and a personal touch!
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 want to know how you’ve used it to solve problems!
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 to join our growing team!
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, we recommend practising some common SQL queries and being ready to demonstrate your knowledge. You might be asked to solve a problem on the spot, so having a few examples of complex queries you've written can really set you apart.
✨Collaborate Like a Pro
This role involves working closely with data science and engineering teams, so be ready to talk about your experience in cross-functional collaboration. Share specific instances where you partnered with others to enhance fraud detection processes, highlighting your teamwork and communication skills.
✨Show Your Problem-Solving Skills
Prepare to discuss how you approach problem-solving with data. Think of a challenging situation you've faced in fraud analytics and how you tackled it. This will demonstrate your analytical mindset and ability to think critically under pressure, which is crucial for this position.