At a Glance
- Tasks: Lead the fight against payment fraud using data analytics and collaboration.
- Company: Join Trainline, Europe's top rail app, committed to sustainable travel.
- Benefits: Enjoy private healthcare, work-from-abroad options, and generous family-friendly perks.
- Why this job: Make a real impact in preventing fraud while enhancing customer experience.
- Qualifications: Proficient in SQL, Python, and data analysis with strong problem-solving skills.
- Other info: Embrace a diverse and inclusive culture with clear career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
About us
We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.
Great journeys start with Trainline. Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be.
Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey.
Introducing the Payment Fraud team at Trainline. The Payment Fraud team protects Trainline and our customers by preventing and detecting payment fraud across our platforms. We use data and analytics to identify emerging fraud trends, strengthen controls, and guide fraud decisioning, balancing risk with customer experience.
As a Lead Payment Fraud Analyst, you will:
- Own and track key fraud, loss, and recovery metrics.
- Spot trends and anomalies, and leverage tools like Ravelin, and internal partnership with Machine Learning teams to proactively mitigate risk.
- Work closely with Chargeback Admins and Fraud Review Agents to respond to a changing payment fraud landscape, while balancing a low prevent rate for a high quality paying experience for Trainline customers.
- Deliver timely and accurate internal and external reporting on fraud trends for senior leadership audiences.
- Collaborate with key stakeholders to ensure fraud data strategies align with wider business goals.
- Automate dashboards and reporting tools to streamline analysis.
- Ensure compliance with data security and privacy standards.
We'd love to hear from you if you have:
- Proficiency in SQL, Python, R, or similar data analysis tools for analytics and visualization.
- An understanding of predictive modeling, clustering, and classification techniques for fraud analytics.
- Experience using BI and reporting tools such as Tableau or Power BI to create dashboards and reports.
- Some familiarity with data pipelines and cloud platforms (e.g., AWS or Google BigQuery) is a plus.
- Strong communication skills to collaborate effectively with fraud, finance, product, and engineering teams.
- Experience managing data projects with timely delivery.
- Knowledge of regulatory frameworks such as GDPR, PCI DSS, and PSD2, or similar fraud/data compliance requirements.
- Experience in identifying and mitigating revenue leakage through fraud analytics.
- A strong problem‐solving and analytical mindset.
- The ability to present complex data insights clearly to both technical and non‐technical audiences.
- Attention to detail when analysing large datasets to detect fraudulent activity.
More information:
Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family‐friendly benefits.
We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!
We're operate a hybrid model to work and ask that Trainliners work from the office a minimum of 60% of their time over a 12‐week period. We also have a 28‐day Work from Abroad policy.
Our values represent the things that matter most to us and what we live and breathe every day, in everything we do:
- Think Big - We're building the future of rail
- Own It - We focus on every customer, partner and journey
- Travel Together - We're one team
- Do Good - We make a positive impact
We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everything belongs and differences are valued and celebrated.
Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!
Lead Payment Fraud Analyst in Edinburgh employer: Trainline plc
Contact Detail:
Trainline plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Payment Fraud Analyst in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current or former Trainliners on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL, Python, and fraud analytics knowledge. Be ready to discuss how you've tackled similar challenges in the past – we love a good story!
✨Tip Number 3
Show us your passion for data! Bring examples of how you've used data to drive decisions or improve processes. We want to see that analytical mindset in action!
✨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 serious about joining our team!
We think you need these skills to ace Lead Payment Fraud Analyst in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Payment Fraud Analyst role. Highlight your proficiency in SQL, Python, and any relevant fraud analytics experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about preventing payment fraud and how your background makes you a great fit for our team. Be sure to mention any specific tools or techniques you've used in the past.
Showcase Your Analytical Skills: In your application, provide examples of how you've used data analysis to identify trends or solve problems. We love seeing how candidates have turned complex data into actionable insights!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you on board for this exciting journey!
How to prepare for a job interview at Trainline plc
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and R skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to fraud analytics. Showing that you can leverage data effectively will impress the interviewers.
✨Understand Fraud Trends
Familiarise yourself with current trends in payment fraud and be prepared to discuss how you would approach identifying and mitigating these risks. Having specific examples of how you've tackled similar challenges in the past will demonstrate your expertise and proactive mindset.
✨Communicate Clearly
Since you'll be collaborating with various teams, practice explaining complex data insights in simple terms. Think about how you can convey your analytical findings to both technical and non-technical audiences. This skill is crucial for a Lead Payment Fraud Analyst.
✨Align with Company Values
Research Trainline's values and think about how your personal values align with theirs. Be ready to share examples of how you've 'thought big', 'owned it', and 'done good' in your previous roles. This will show that you're not just a fit for the role, but also for the company culture.