AML Data Specialist – Transaction Monitoring & Compliance

Dlocal; España; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible schedules

Fintech environment

Referral bonus

Social budget

Global team

Descripción de la vacante

dLocal is seeking a seasoned Data Specialist to join Compliance, focusing on AML/CFT transaction monitoring. You will own analytical workflows, liaise with data scientists, and influence product teams to strengthen financial-crime detection across LATAM, EMEA, and APAC.

The role combines hands-on data work with regulatory reporting, requiring strong SQL, Python, and Databricks skills in a dynamic fintech environment.

Formación

• 5+ years in data analytics, risk, or financial crime analytics.
• Strong SQL and Python; Databricks experience preferred.
• Experience with AML/CFT monitoring is a plus.
• Ability to work with auditors/regulators.
• Collaborative, autonomous, cross-functional liaison skills.

Responsabilidades

• Own the end-to-end analytical lifecycle of rule-based monitoring.
• Pull data and explore in Databricks; propose rule/threshold changes.
• Refine false negative methods.
• Shape agentic monitoring function; expand automation.
• Liaise with data scientists; document requirements.
• Own AML/CFT regulatory reporting; ensure data quality.
• Maintain audit-ready documentation for methodology changes.
• Translate regulatory requirements into data and monitoring needs.
• Generate dashboards for stakeholders.

Conocimientos

SQL

Python

Databricks

AML/CFT

Data analytics

Regulatory reporting

Educación

Bachelor's or Master's in CS/DS/Statistics/Engineering

Herramientas

Databricks

Descripción del empleo

dLocal is seeking a seasoned Data Specialist to join Compliance, focusing on AML/CFT transaction monitoring. You will own analytical workflows, liaise with data scientists, and influence product teams to strengthen financial-crime detection across LATAM, EMEA, and APAC.

The role combines hands-on data work with regulatory reporting, requiring strong SQL, Python, and Databricks skills in a dynamic fintech environment.