Advanced AML Compliance Data Strategist

hace 3 días


Montevideo, Montevideo, Uruguay dLocal A tiempo completo

About dLocal

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dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. As a payments processor and merchant of record where we operate, we make it possible for our merchants to make inroads into the world's fastest-growing, emerging markets.

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The Opportunity

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We seek an experienced Compliance Data Specialist with at least 5 years of experience, specializing in Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT) transaction monitoring. In this role, you will play a pivotal part in safeguarding our financial institution against illicit financial activities by leveraging your expertise in data analysis, machine learning, and regulatory compliance.

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Key Responsibilities

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  • Analyze transaction data, detect patterns, and identify anomalies and suspicious transactions related to AML/CFT and sanctions screening.">
  • Develop and deploy advanced machine learning models for AML/CFT detection.">
  • Strong experience in data segmentation, including the ability to conduct customer segmentation.">
  • Engineer relevant features from transaction data to enhance model accuracy in identifying financial crime.">
  • Create new features based on transaction frequency, location, amounts, and other relevant factors.">
  • Train, fine-tune, and validate models using historical data, while complying with AML/CFT regulations.">
  • Validate model performance to ensure effective AML detection while minimizing false positives.">
  • Implement real-time and batch monitoring systems for transaction analysis, systems to identify potential money laundering and terrorist financing activities.">
  • Closely collaborate with AML/CFT analysts, compliance experts, and IT teams to ensure effective detection and prevention.">
  • Stay updated on evolving AML/CFT regulations and financial crime trends, adapting monitoring processes accordingly.">
  • Generate comprehensive reports and dashboards for regulatory reporting and internal insights.">
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Requirements

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  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.">
  • A minimum of 5 years of experience as a Data Scientist, with a strong focus on AML/CFT transaction monitoring.">
  • Proficiency in data analysis tools (e.g., Python, R) and machine learning libraries (e.g., scikit-learn, TensorFlow).">
  • Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.">
  • In-depth knowledge of AML/CFT regulations, compliance requirements, and best practices.">
  • Expertise in data preprocessing, feature engineering, and model evaluation.">
  • Excellent problem-solving skills and attention to detail.">
  • Strong communication and teamwork skills.">
  • Ability to adapt to evolving AML/CFT regulations and financial crime methodologies.">
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About Salary and Benefits

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The estimated salary for this role is $120,000 - $180,000 per year, depending on experience and qualifications.

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dLocal offers a competitive compensation package, including health, travel, and learning benefits, among others. Our team culture is flexible, remote-first dynamic, with opportunities for career growth and professional development.



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