We're looking for a skilled Data Analyst with at least 2 years of experience to join our Compliance team, supporting our Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT) transaction monitoring efforts.
In this role, you will work closely with the Compliance and Data teams to build reliable datasets, conduct analytical deep dives, support rule performance evaluations, and assist in maintaining scalable data processes across our LATAM, EMEA, and APAC Compliance operations.
You will play a critical supporting role by providing the data, insights, and analytical foundation that enable effective decision-making in one of the company’s most important areas given our complex ecosystem operating across 45+ markets and subject to a vast regulatory and compliance landscape.
What will you be doing?
Support analytical activities for AML/CFT and sanctions monitoring, including heuristic analyses, customer behavior insights, and evaluation of rule-based controls.
Assist in designing and running A/B tests and other experiments to measure the effectiveness of monitoring strategies.
Perform ad-hoc analyses, deep dives, and data investigations to answer business questions and support strategic initiatives.
Work closely with engineering, data, and compliance teams to refine AML rules, improve data availability, and support regulatory and internal reporting needs.
Create and maintain dashboards, reports and KPIs, ensuring information is reliable, up-to-date, and easy to understand for key business stakeholders.
Perform ongoing monitoring of AML/CFT metrics, investigate anomalies, and assist in identifying emerging patterns or areas of improvement.
(Nice to have) Contribute to ML-based analyses or model development, supporting senior team members working on advanced detection methodologies.
What skills do you need?
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Economics, or relevant experience in the field
2+ years of experience working with data analytics, BI, reporting or other quantitative roles, ideally in financial services, fintechs, or compliance environments.
Strong SQL skills (preferably Athena and QuickSight) and proficiency in Python or R for data analysis.
Experience creating and maintaining datasets, ETLs, and dashboards.
Solid understanding of segmentation, heuristic analysis, and experimentation (A/B testing).
Exposure to AML/CFT, transaction monitoring, or financial crime prevention is a strong plus (but not mandatory).
Ability to communicate analytical findings clearly to key business stakeholders.
Collaborative, detail-oriented, and comfortable supporting multiple teams simultaneously.
(Optional) Basic knowledge of ML techniques or familiarity with tools such as scikit-learn or SageMaker.
