About the company
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 worldās 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 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of peopleās 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.
Job Summary
What will you be doing?
šLead the end-to-end data lifecycle for our AML/CFT and sanctions screening systems. This includes taking ownership of data, pulling from sources such as Amazon Athena and Looker, building and optimizing šETL processes, and ensuring data quality from the ground up. You will proactively engage with IT and data teams to secure the necessary support. š Design, build, and deploy advanced machine learning models to detect and prevent financial crime, with a focus on minimizing false positives and identifying new typologies. šEngineer robust features from transaction data, leveraging attributes like frequency, location, and amounts to enhance model accuracy. šImplement and maintain real-time and batch monitoring systems to effectively analyze millions of transactions on a monthly basis. šEngage with Compliance Leadership to stay ahead of evolving AML/CFT regulations and financial crime trends, ensuring our monitoring processes are always up-to-date and compliant. šGenerate comprehensive reports and dashboards for regulatory reporting and internal insights, communicating your findings to both technical and non-technical stakeholders.
What skills do you need?
šA Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. šA minimum of 5 years of experience as a Data Scientist, with a strong focus on AML/CFT transaction monitoring. šProficiency in data analysis tools (e.g., Python, R) and machine learning libraries (e.g., scikit-learn, TensorFlow). Experience with cloud-based platforms, such as Amazon SageMaker AI, is a plus. šProven expertise in data preprocessing, feature engineering, and model evaluation techniques. šA deep understanding of AML/CFT regulations, compliance requirements, and best practices is a significant advantage.
The future of finance is here ā whether youāre interested in blockchain, cryptocurrency, or remote web3 jobs, thereās a perfect role waiting for you.
