2 дня назад
Data Specialist for Compliance — Transaction Monitoring & Financial Crime (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Specialist for Compliance — Transaction Monitoring & Financial Crime (Fintech): Building and analyzing AML/CFT transaction monitoring systems across LATAM, EMEA, and APAC with an accent on rule-based monitoring, regulatory reporting, and data quality. Focus on refining false-negative methodologies, designing agentic monitoring orchestration, validating ML-driven detection outputs, and creating audit-ready documentation.
Location: Hybrid in Madrid, São Paulo, or Montevideo
Company
is a fintech company operating payment and transaction infrastructure across multiple international markets.
What you will do
- Own the analytical lifecycle of rule-based AML/CFT transaction monitoring systems, including data extraction, exploration, and rule and threshold recommendations.
- Maintain and improve the false-negative methodology used to identify activity missed by monitoring controls.
- Help design and implement agentic monitoring orchestration and automation across AML/CFT monitoring flows.
- Coordinate with data scientists on ML-driven detection by gathering requirements, validating models, and ensuring outputs support compliance decisions.
- Own AML/CFT transaction-monitoring regulatory reporting and resolve data-quality issues before reporting or audit problems arise.
- Produce performance reports and dashboards and maintain audit-ready documentation for methodology changes.
Requirements
- At least 5 years of experience in data analytics, risk, or fraud and financial-crime analytics, preferably in financial services or fintech.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field, or equivalent experience.
- Strong SQL and Python skills; experience with Databricks is preferred.
- Understanding of the end-to-end data lifecycle, including raw data, pipelines, modeling, and reporting.
- Experience working as a technical liaison or requirements owner with Data, Product, and Engineering teams.
- Ability to work autonomously and collaboratively on AML data analytics.
Nice to have
- Deep AML/CFT transaction-monitoring experience.
- Experience with ML frameworks and statistical analysis.
- Experience producing documentation suitable for regulatory or audit scrutiny.
Culture & Benefits
- Hybrid work combining self-managed focus time with in-person collaboration.
- Flexible schedules focused on impact and productivity rather than fixed hours.
- Opportunity to influence financial-crime detection across LATAM, EMEA, and APAC.
- Role within a small and growing Compliance team.
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