Fraud Operations Analyst
We're on a mission to Make Life Easy, and nothing makes life harder than losing money to a fraudster. Fraud Ops is what keeps that promise real: fast, accurate decisions on our user’s money, every single day.
Our Fraud queues have changed. Automation now clears the obvious cases, so what lands on your desk are the hard ones: ambiguous profiles, mixed signals, calls with real financial and regulatory weight behind them. We're growing the team to keep pace with that shift, and we're looking for people who bring both speed and precision to the table.
Up for this?
Kick off your application by taking our assessment and find out if bunq is your perfect match! 🍭
Take ownership
As our Fraud Operations Analyst, you'll take on the cases automation can't settle on its own: reading the signals, protecting our user’s money, and helping our systems learn from every case you close.
Become a detective in fraud prevention, using your in-depth investigation and problem-solving skills to protect our users from suspicious activity 🕵️♂️
Bring empathy and effective communication into every interaction to provide the best support possible
Investigate ambiguous fraud cases where the signals aren't clear-cut, weighing behavioral and contextual clues to tell a genuine user from a fraudster
Choose whether to act, ask, or escalate: fast, accurate calls that protect user’s money
Feed what you learn back into our fraud tooling, so automation catches more and fewer edge cases reach the queue over time
You have knowledge of fraud monitoring and prevention
You have a close eye for detail: you notice the subtle behavioral and contextual clues
You always think from the user’s perspective first, have empathy, and understand how to protect their interests
You're comfortable using AI tools to work faster and smarter, and you can spot when an AI-based tool is being used against us
We'd love it if you already have knowledge of KYC and PayOps
You're an excellent communicator and speak English fluently
Your space to perform
🤟 Great, international colleagues who share your mindset
👩💻 Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.
📚 We support growth with bunq Academy and €1500 annual learning budget
🇧🇬 Flex Benefits: €70 monthly budget via Re: benefit, offering access to 150+ perks tailored to your lifestyle.
🧳 Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration
🚀 We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.
💻 A MacBook so you can Get Shit Done with us
🥦 Delicious lunches from our fabulous in-house chefs with vegan and vegetarian options
⚕️ Private health insurance, just in case
🍻 Friday drinks and other celebrations - bunq style
All new hires are subject to Pre-employment Screening (PES), which includes checks conducted by our third-party partner, Zinc. This is part of our commitment to a secure and trustworthy workplace.
Curious to see how we make life easy? — try the bunq app, it only takes 5 minutes to sign up.
As published by recruitee · 12 questions
Basics
Full name, Email, Phone
Short answers (2)
- What city do you currently live in?
- What are your salary expectations? (gross, monthly, in EUR)
Pick from a list (10)
- Which visa situation fits you best? Please choose according to the office you are applying for: Istanbul (TR), Sofia (BG).
- How do you assess your writing and speaking English skills?
- Do you agree and confirm with the above mentioned terms (contract duration, hybrid way of working, and standard working hours)?
- Have you previously worked at bunq?
- The salary range for this position is between the range of €1671 to €1710 gross monthly. Would this align with your expectations?
- Fraudsters never sleep. That's why this role has occasional late shifts, starting from 15:00, ending 00:00. Would you commit to these working hours?
- How do you usually approach your work, its impact, and solving challenges?
- Which of the following statements best describes your approach to using AI in a professional context?
- How would you rate your practical proficiency with analyzing user data to differentiate legitimate users from fraudsters?
- How familiar and practised are you with Fraud Ops, PayOps, KYC, or customer suppport?