TL;DR

Data Specialist for Compliance (Fintech): Lead the development and optimization of AML/CFT transaction monitoring data systems and machine learning models with an accent on data lifecycle management, feature engineering, and regulatory compliance. Focus on designing scalable, real-time monitoring systems and collaborating with compliance leadership to stay ahead of evolving financial crime trends.

Location: Remote (Argentina, Brazil) / Hybrid (Montevideo, Uruguay)

Company

%hirify_global% enables global companies to collect payments in emerging markets, operating as both payments processor and merchant of record with a diverse international team and a remote-first culture.

What you will do

Lead end-to-end data lifecycle for AML/CFT and sanctions screening systems, including data sourcing, ETL, and quality assurance.
Design, build, and deploy advanced machine learning models to detect and prevent financial crime, minimizing false positives.
Engineer robust features from transaction data to improve model accuracy.
Implement and maintain real-time and batch monitoring systems analyzing millions of transactions monthly.
Collaborate with Compliance Leadership to ensure monitoring processes comply with evolving AML/CFT regulations.
Generate comprehensive reports and dashboards for regulatory and internal use.

Requirements

Must have minimum 5 years experience in data science focused on AML/CFT transaction monitoring.
Proficiency in Python, R, machine learning libraries, and cloud platforms like Amazon SageMaker AI.
Strong understanding of AML/CFT regulations and compliance requirements.
Ability to lead projects and collaborate with internal and external partners.
Location: Remote work allowed from Argentina and Brazil; hybrid work requires 55% office attendance in Montevideo (Uruguay) except for IT and Fraud roles.
English proficiency at least B2 level.

Nice to have

Experience with data segmentation and customer segmentation.
Experience with TensorFlow and scikit-learn.

Culture & Benefits

Flexible remote-first work environment with optional office presence.
Learning and development opportunities including Premium Coursera subscription and language classes.
Referral bonus program and social budget for team activities.
Unique perks like %hirify_global% Houses for coworking worldwide.

Hiring process

CV review and email updates at every step.
Structured candidate experience with clear communication.