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Data Specialist for Compliance — Transaction Monitoring & Financial Crime

dLocal Madrid, Hiszpania
Pełny etat Praca hybrydowa

Data publikacji: 01.09.2026

We're looking for a seasoned Data Specialist with at least 5 years of experience to join our Compliance team, focused on Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT) transaction monitoring. You'll own the analytical backbone of our transaction monitoring systems, and actively build the broader data strategy work within Compliance — whether through liaising with a team of data scientists or through influencing Product teams working upstream to us. This is a hands-on role with real influence on how we detect financial crime across LATAM, EMEA, and APAC.

Responsibilities

Own the end-to-end analytical lifecycle of rule-based transaction monitoring systems, from data pulling and exploration in Databricks to proposing rule and threshold changes; Maintain and refine false negative methodology; Help shape the agentic monitoring function from orchestration design to implementation; Act as technical liaison with data scientists for ML driven detection, gathering and documenting requirements, challenging and validating models; Own regulatory reporting for AML/CFT transaction monitoring, ensuring underlying data is accurate, complete, and traceable; Build and maintain audit-ready documentation for every methodology change; Engage with Compliance Leadership to translate evolving AML/CFT regulatory requirements into concrete data and monitoring needs; Generate reports and dashboards that communicate framework performance and monitoring effectiveness

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or proven experience in a correlated field; 5+ years of experience in data analytics, risk, or fraud/financial crime analytics, ideally in financial services or fintech; Strong SQL and Python (Databricks environment preferred); comfort with statistical analysis; Solid understanding of the end-to-end data lifecycle — from raw data and pipelines to modeling and reporting; Demonstrated experience as a technical liaison or requirement-owner working with additional Data, Product and Engineering teams; Proactive, collaborative mindset; comfortable operating with a high degree of autonomy on AML data analytics, as part of a small and growing team

Nice to have

Deep AML/CFT transaction monitoring experience; ML frameworks; Experience producing documentation that holds up under audit or regulatory scrutiny

Benefits

Flexibility in how you work; Fintech industry environment; Referral bonus program; Work From Anywhere for up to 3 months every year; Tailored benefits per country
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