Fraud Analyst
Trustly is hiring a Fraud Analyst for a remote role open to applicants in Portugal. Level rates it ; you can apply on Trustly.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting lists this role as remote.
- Level lists 43 other open roles at Trustly.
- The role was posted within the past week.
AI in this role
WHO WE ARE
At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.
Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like.
Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays.
About the Fraud Operations team
This role is within our dedicated Fraud Operations team, an agile, cross-border squad operating between Stockholm and Lisbon as a key pillar of Trustly’s Financial Crime Prevention organization. We are on the front lines investigating complex fraud patterns, protecting Trustly and our consumers from emerging risks, and feeding intelligence back into our machine learning detection models.
About the role
The fraud landscape is rapidly evolving, and our team plays a pivotal role in keeping Trustly safe while ensuring friction-free transactions for legitimate users. We are looking for an analytical and detail-oriented Fraud Analyst to join our growing hub in Lisbon.
In this role, you will investigate end-to-end fraud claims, dissect first-party and third-party fraud patterns, and lead complex liability claim workflows under UK regulatory frameworks. Working with data query templates and manual extraction tools, you will analyze transaction behaviors, interact directly with external partner banks and merchants, and label crucial data points to continuously strengthen our automated rule sets and machine learning systems.
What you’ll do
Independently investigate fraud claims received from partner banks and merchants, assessing incident validity and identifying underlying fraud vectors.
Lead end-to-end investigations on UK legislative liability claims where Trustly holds shared liability, ensuring fair and timely resolution outcomes.
Communicate and collaborate directly with external financial institutions, partner banks, and merchants to gather evidence, resolve disputes, and clarify fraud findings.
Accurately mark and categorize transaction datasets to retrain our automated fraud rules and machine learning models.
Conduct proactive undetected fraud monitoring and analysis across transaction streams using internal extraction tools and SQL query templates.
Collaborate closely with team members across Lisbon and Stockholm to share typologies, refine operational workflows, and improve team playbooks.
Who you are
Dedicated Fraud Experience: Proven experience specifically within fraud operations or fraud investigations
Typology Knowledge: Solid understanding of fraud mechanisms, specifically differentiating between first-party fraud, third-party fraud, and account takeover vectors.
Data & SQL Fluency: Basic familiarity with SQL to run, read, and adjust query templates, with high comfort navigating large datasets without getting overwhelmed.
External Communication: Excellent written and verbal communication skills in English, with the diplomatic presence required to liaise effectively with partner banks and merchants.
Collaborative & Humble Mindset: A strong team player who thrives in a close-knit, supportive environment, values active listening, and enjoys rolling up their sleeves to solve puzzles together.
Fintech Affinity: Prior experience in a payment processor, fintech, or fast-paced digital transaction environment is considered a strong plus.
Our Fantastic Benefits (varies by location)
🌴 20 to 30 days of holiday to support a healthy work-life balance
🥳 Monthly team outing allowance to enjoy social events with your colleagues
👶 Parental leave top-up additional support for new parents
☕ On-site perks to make your workday smoother
💚 Well being support our health allowance covers gym memberships, massages, and much more to help you feel your best
PLUS additional benefits designed to enhance your work-life experience!
Shape Your Role and Make an Impact
Join a dynamic environment where you can take ownership, drive change, and continuously embrace new challenges. We’re looking for dedicated and highly motivated individuals who thrive in a fast-paced environment and enjoy collaborating across different areas of the organisation.
How we rate this
Fraud Analyst at Trustly rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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