Data Analyst - Fincrime Reporting
Ebury is hiring a Data Analyst - Fincrime Reporting in Madrid, Spain. Level rates it ; you can apply on Level.
AI in this role
Design and maintain data models, risk scoring, and detection logic for regulatory financial crime compliance.
Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.
If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.
Data Analyst - FCC Reporting
Location: Málaga or Madrid (Spain) - Hybrid: 4 days in the office, 1 day working from home per week
Ebury’s strategic growth plan would not be possible without our Data Analytics & Compliance team and we are seeking a Data Analyst to join our Regulatory FinCrime Compliance domain!
Our data mission is to enable effective risk detection, monitoring and regulatory compliance through robust data models, scalable analytics and high quality reporting.
The team works closely with Compliance, Risk and Product to design and implement data-driven controls, detection mechanisms, and investigative tools across multiple jurisdictions.
Projects range from building curated data models to cover global key risk indicators for financial crime compliance and automating into standardised board packs, to scaling our regulatory reporting engine to incorporate datasets specific to transaction monitoring, screening and client KYC.
As part of the team you will
- Design and maintain data models and datasets used for transaction monitoring, customer risk scoring, and financial crime investigations.
- Own end-to-end delivery of FinCrime analytics solutions: requirements gathering, data extraction, transformation, validation, and deployment.
- Develop and optimise detection logic and monitoring rules (e.g. transaction monitoring scenarios, anomaly detection, behavioural patterns).
- Perform data quality checks and controls to ensure completeness, accuracy, and auditability of FinCrime datasets.
- Build dashboards and analytical tools (Looker / Looker Studio or similar) for monitoring risk exposure, alerts, and investigation pipelines.
- Support regulatory and internal audits, providing traceability of data, methodologies, and controls.
- Contribute to the automation and continuous improvement of FinCrime processes (screening, monitoring, alert handling).
What we’re looking for
- 2-5 years Experience in Data/Business Analytics – preferably within FinCrime, Compliance, Risk, or Financial Services.
- Advanced SQL skills – able to read and write queries across complex datasets.
- Experience with our modern data stack tools is a plus: dbt, Google Cloud BigQuery, Looker / Looker Studio, Git.
- Experience building data pipelines, transformations, and analytical datasets.
- Solid understanding of financial crime frameworks.
- Experience working with Python is desirable.
- Knowledge of payment flows, FX, or banking products is desirable.
- Strong analytical thinking with focus on data quality, controls, and risk interpretation.
- Experience working with transaction monitoring systems or alerting frameworks is a plus.
- Ability to translate regulatory and compliance requirements into data logic.
- Fluency in English (Spanish, a plus)
What Ebury offers you
- Competitive salary conditions
- Private health insurance, gympass and access to Meditopia
- Support to progress your career in the Data & Analytics world
- Work in a collaborative environment and contribute to a new data infrastructure built on a modern data stack
- Flexible workplace environment (hybrid model, 4 days office / 1 day remote)
- 23 days of annual leave plus your birthday off and all the Málaga public holidays.
- Fun in-person off-sites and virtual get-togethers
- Personal development including language courses
#LI-JC1
#LI-HYBRID
About us
Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.
Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we’re always looking to add to our team.
At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.
The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.
We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.
Important Security Notice for Job Applicants:
Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity.
Notice to Recruitment Agencies and Search Firms:
Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires.
AI Transparency Statement:
Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.
How we rate this
Data Analyst - Fincrime Reporting at Ebury rates 10 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. 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
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Pay
- Typical data analyst job
- $109k
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 data analysis was part of your work. What did you do?
- Tell me about a project where risk assessment was part of your work. What did you do?
- Tell me about a project where compliance was part of your work. What did you do?
- Tell me about a project where transaction monitoring 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?
Adapt your resume
- List these exact terms on your resume: Data Analysis, Risk Assessment, Compliance, Transaction Monitoring, 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.
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