Company: Duffel
Location: London
Posted: May 2nd, 2026
London | Full - time | Hybrid | Shoreditch/Liverpool Street
Create the Future of Travel With Us
Whether it's visiting the people closest to us, starting an exciting adventure, or a career defining business trip, travel is essential. Yet we've all experienced the aches and pains of getting to our destination.
More than 4 billion travellers rely on technology that hasn't kept up with modern expectations. That's why we're rebuilding the infrastructure that underpins the travel industry simplifying systems and building tools that will make the future of travel effortless. Central to this mission is ensuring seamless, secure and reliable payment experiences, which are crucial for every transaction and a cornerstone of trust in our platform.
We were part of Y Combinator S18's cohort and backed by Benchmark, Blossom, Index Ventures, and Kima Ventures a fantastic set of investors that has helped build some of the world's largest companies.
Our London team is growing, and we're looking for an experienced Product Analyst to join us on our journey.
We're looking for a curious and driven Product Analyst to join our team. You'll spot patterns, write detection rules, and build systems that 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 as well as turning learnings into product enhancements.
Partner with our engineering teams to advance our technological approaches to identifying fraudulent activity and bring fraud detection to the heart of the product.
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
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
Competitive salary + equity (you'll own part of Duffel)
Work from anywhere policy
Duffel travel allowance (use what we build)
Generous parental leave
Sabbatical programme
Office in Shoreditch + regular team socials
As we scale to millions of bookings, fraud prevention becomes critical. You'll build the systems and rules that protect our platform from day one of this function, defining how we approach trust and security as we grow.
We're an equal opportunities employer. We believe that the key to our success is employing a diverse team, which is why recruitment decisions are only based on your experience and skills. We welcome applications from everyone , regardless of age, sex, disability, sexual orientation, race, religion, or belief.
Note to recruitment agencies: Duffel does not accept speculative CVs from external parties. Any unsolicited CVs sent to us will be treated as property of Duffel, and any attached terms and conditions associated with these CVs will be null and void.
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