Compliance Data Specialist - LATAM
Montevideo (Hybrid) / Ciudad Autónoma de Buenos Aires, Argentina (Remote) / Argentina (Remote) / Brazil (Remote) / Ciudad de México (Remote)
Compliance – Compliance /
Full Time /
Remote
Why you should join dLocal?
dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.
By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health, and learning benefits, among others. Being a part of dLocal means working with 800+ teammates from 25+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.
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 play a pivotal role in safeguarding our financial institution against illicit financial activities by leveraging your expertise in data analysis, machine learning, and regulatory compliance.
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.
- 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.
- 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!
