Advanced AML Compliance Data Strategist
hace 3 días
About dLocal
">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.
">The Opportunity
">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.
">Key Responsibilities
">- ">
- 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.">
Requirements
">- ">
- 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.">
About Salary and Benefits
">The estimated salary for this role is $120,000 - $180,000 per year, depending on experience and qualifications.
">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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