
Simplifying online bank payments for everyone
Trustly is a leading fintech platform specializing in online bank payments, connecting consumers and merchants seamlessly through bank accounts. Founded in 2008 and headquartered in Vasastan, Stockholm, Trustly has grown to over 900 employees and serves thousands of merchants, including major client...
Employees enjoy free breakfast daily, catered dinners for late work, and a weekly happy hour. Trustly offers a generous health allowance and organizes...
Trustly promotes a culture of collaboration and innovation within the fintech space, focusing on simplifying bank transfers for merchants. The company...

Trustly • Lisbon, Portugal (EU)
Trustly is seeking a Senior AML Data Analyst to take ownership of data and metrics that underpin their AML framework. You'll work closely with various teams to ensure the integrity of AML metrics and compliance with regulatory requirements. This role requires strong analytical skills and experience in data management.
You have a strong background in data analysis with at least 5 years of experience, particularly in the financial services or compliance sectors. Your expertise in SQL allows you to manipulate and analyze large datasets effectively, ensuring data integrity and accuracy. You understand the complexities of Anti-Money Laundering (AML) regulations and can translate these requirements into actionable data-driven controls. You thrive in collaborative environments, working closely with cross-functional teams including AML Operations, Machine Learning, and Compliance to drive improvements in risk management processes. Your analytical mindset enables you to identify trends and insights that inform decision-making and enhance operational efficiency.
Experience with data visualization tools such as Tableau or Power BI is a plus, as it allows you to present complex data in an understandable format. Familiarity with machine learning concepts can also be beneficial, as you will be working alongside data science teams to validate and monitor detection models. A proactive approach to problem-solving and a keen attention to detail will set you apart in this role.
As a Senior AML Data Analyst at Trustly, you will take ownership of the data and metrics that support our AML framework. This involves validating and monitoring detection models to ensure they are functioning effectively and meeting regulatory standards. You will work closely with AML Operations to ensure that our risk controls are not only effective but also scalable and transparent. Your role will require you to translate regulatory requirements into measurable metrics, ensuring that our compliance efforts are data-driven and aligned with business goals. You will also be responsible for maintaining the integrity of AML metrics, which involves regular audits and updates to our reporting processes. Collaborating with the Machine Learning team, you will help refine detection logics and thresholds to minimize risk exposure while maximizing detection accuracy. Your insights will directly contribute to the continuous improvement of our fraud prevention strategies, making a significant impact on Trustly's mission to revolutionize payments.
At Trustly, we offer a dynamic and entrepreneurial work environment where innovation is encouraged. You will be part of a global team that is dedicated to building a smarter financial future. We provide opportunities for professional growth and development, ensuring that you have the resources you need to succeed in your role. Our culture values collaboration and transparency, allowing you to make meaningful contributions to our mission. We also offer competitive compensation and benefits, reflecting our commitment to attracting and retaining top talent in the industry.
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