Senior Fraud Data Analyst
Trustly is hiring a Senior Fraud Data Analyst for a remote role open to applicants in Sweden. Level rates it ; you can apply on Level.
Level's read on this job
- On Level's scale, this data analyst role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions fraud detection, risk analysis and data analysis among its tools and skills.
- Trustly has 34 other open roles on Level.
- This posting went up in the last few days.
AI in this role
Responsible for configuring, monitoring, and optimizing fraud detection models and risk rules in collaboration with machine learning teams.
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 ROLE
As a Senior Fraud Data Analyst within Trustly’s Risk Precision team, you take ownership of fraud risk performance in Trustly's payment flows. Your role sits at the intersection of risk appetite, operational reality, and data-driven execution. You are responsible for translating risk strategy into concrete actions that improve accuracy, reduce financial exposure, and support sustainable business growth.
This role goes beyond analysis. You own risk controls, performance outcomes, and continuous improvement within your domain. Working closely with Machine Learning, Product, Compliance, and Operations, you help ensure that Trustly’s fraud detection framework remains precise, scalable, and aligned with regulatory and business expectations.
WHAT YOU'LL DO
Own the configuration, performance, and continuous optimization of fraud models and rules, thresholds, and decision logic
Be accountable for fraud KPIs and take active ownership of improving performance over time
Conduct in-depth impact and root-cause analysis to support data-driven decision-making
Translate operational insights and risk appetite into tangible detection and mitigation actions
Collaborate closely with the Machine Learning team to align model outputs with fraud logic and improve overall prevention and detection performance
Review, propose, and implement changes to thresholds, escalation logic, and risk controls
Contribute to the drafting and refinement of fraud-related policies, procedures, and risk documentation
Partner with stakeholders across Compliance, Product, and Operations to align mitigation strategies, process changes, and regulatory requirements
Stay up to date on fraud trends, typologies, and industry best practices
WHO YOU ARE
Several years of experience in fraud prevention, fraud analytics, or risk management within financial services or fintech
Proven ability to own performance metrics and drive measurable improvements
Strong understanding of fraud typologies, detection strategies, and risk control frameworks
Highly analytical, with the ability to translate complex data into clear insights and actions
Comfortable working at the intersection of rules-based controls and machine learning models
Confident communicator, able to present insights to both technical and non-technical stakeholders
Structured, accountable, and comfortable making risk-based trade-offs
Curious and continuously learning, with a strong interest in improving detection precision
Shape your role and make an impact
At Trustly, seniority means ownership. As a Senior Fraud Data Analyst within Risk Precision, you are expected to challenge existing approaches, strengthen fraud controls, and help define what good looks like as fraud risks and detection techniques evolve. If you thrive in a fast-moving environment and want to actively influence how fraud prevention operates at scale, we’d love to hear from you.
How we rate this
Senior Fraud Data Analyst at Trustly rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data analyst job
- $112k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where fraud detection was part of your work. What did you do?
- Tell me about a project where risk analysis was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Fraud Detection, Risk Analysis, Data Analysis, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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