Compliance Data Specialist

hace 1 mes


Montevideo, Montevideo, Uruguay dLocal A tiempo completo
Why you should join dLocal?

dLocal is a leading payments processor and merchant of record that enables global brands to collect payments in 40 countries in emerging markets. Our team is passionate about simplifying payment expansion and increasing conversion rates for our merchants. As a Compliance Data Specialist, you will play a crucial role in safeguarding our financial institution against illicit financial activities by leveraging your expertise in data analysis, machine learning, and regulatory compliance.

What's the opportunity?

We seek a seasoned 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 analyze transaction data, detect patterns, and identify anomalies and suspicious transactions related to AML/CFT and sanctions screening. You will also develop and deploy advanced machine learning models for AML/CFT detection, engineer relevant features from transaction data, and train, fine-tune, and validate models using historical data, while complying with AML/CFT regulations.

What will I be doing?

• 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.
• 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.
• Implement real-time and batch monitoring systems for transaction analysis, systems to identify potential money laundering and terrorist financing activities.
• Collaborate closely 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.

What skills do I need?

• 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.

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don't worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process.

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