At a Glance
- Tasks: Analyse data to spot fraud patterns and develop detection rules.
- Company: Join a dynamic team focused on protecting travellers and businesses.
- Benefits: Competitive salary, opportunities for growth, and a collaborative work environment.
- Other info: Work with innovative technology and advance your skills in a fast-paced setting.
- Why this job: Make a real impact by solving complex problems in the travel industry.
- Qualifications: Experience in data analytics and proficiency in SQL or similar tools.
The predicted salary is between 35000 - 45000 € per year.
Requirements
- You have experience in data analytics or a similar analytical role (through formal education or practical experience).
- You're comfortable working with and interpreting large datasets.
- You have a knack for answering difficult questions using data and translating complex findings into clear, actionable reports.
- You're proficient in writing queries and preparing reports using SQL or similar.
- You're motivated by self‑learning and growing your skills when faced with new challenges.
- You can manage multiple priorities effectively with a proactive, forward‑thinking mindset.
- Bonus: Prior knowledge of formulating rules to combat fraudulent behaviour or experience in travel/payments.
What the job involves
- We're looking for a curious and analytical Fraud Analyst to join our team.
- You'll analyse data, spot patterns, and write detection rules that help stop fraud in its tracks, playing a vital role in protecting travellers, businesses, and the integrity of our platform.
- You'll work on complex, often ambiguous challenges in the ever-evolving world of travel payments and bookings.
- If you love solving problems, diving into data, and making a real difference, this is your chance.
- Identify fraud trends and develop a deep understanding of fraudulent behaviour on our platform through SQL, Google BigQuery, and Google Looker.
- Formulate rules based on your analysis to mitigate fraudulent behaviour across our platform.
- Carry out investigations of escalated cases related to potential misuse of our platform and assist with legal and customer enquiries.
- Partner with our data science and engineering teams to advance our technological approaches to identifying fraudulent activity.
- Work closely with engineering to enhance internal tools and databases that enable us to combat fraud and scale effectively.
- Act as a key resource for other departments by providing analysis of customer and booking behaviour on the platform.
- Present and communicate the results of analyses and investigations to stakeholders across the company.
Fraud Analyst in London employer: Deepstreamtech
Join a dynamic and innovative team as a Fraud Analyst, where your analytical skills will directly contribute to safeguarding our platform and enhancing the travel experience for users. We pride ourselves on a collaborative work culture that encourages continuous learning and professional growth, offering opportunities to tackle complex challenges in a fast-paced environment. Located in a vibrant area, we provide a supportive atmosphere with access to cutting-edge technology and resources, making it an ideal place for those passionate about data and fraud prevention.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analytics prowess. Use SQL to analyse datasets and present your findings clearly – this will make you stand out during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on common fraud detection scenarios and be ready to discuss how you would tackle them using data. Practice makes perfect, so get a friend to quiz you!
✨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, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Fraud Analyst in London
Some tips for your application 🫡
Show Off Your Analytical Skills:Make sure to highlight your experience in data analytics. We want to see how you've tackled complex datasets and what insights you've drawn from them. Use specific examples to demonstrate your knack for answering tough questions with data.
Get Technical with SQL:Since you'll be working with SQL, it's crucial to mention your proficiency in writing queries. Share any relevant projects or reports you've prepared using SQL or similar tools. This will show us you're ready to dive into the technical side of things.
Be Clear and Concise:When writing your application, clarity is key! We love candidates who can translate complex findings into actionable insights. Keep your language straightforward and avoid jargon where possible, so we can easily understand your thought process.
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills before the interview. Be prepared to discuss your experience with large datasets and how you've used SQL or similar tools to derive insights. Practising some common SQL queries can really help you feel confident.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled complex problems using data. Be ready to explain your thought process and how you arrived at your conclusions. This will demonstrate your analytical mindset and ability to handle ambiguity, which is crucial for a Fraud Analyst.
✨Understand Fraud Trends
Familiarise yourself with current trends in fraud detection, especially in the travel and payments sector. Being able to discuss recent developments or case studies will show your genuine interest in the field and your proactive approach to learning.
✨Communicate Clearly
Since you'll need to present findings to various stakeholders, practice explaining complex data in simple terms. Use clear examples to illustrate your points. This will highlight your ability to translate data into actionable insights, a key requirement for the role.
