Data Specialist For Compliance

Join to apply for the Data Specialist for Compliance - LATAM role at dLocalWhat's the opportunity?We're seeking a seasoned Data Specialist with a minimum of 5 years of experience to join our Compliance team, focusing on Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT) transaction monitoring.You won't just be building models; you'll be a key voice in shaping our data strategy and processes, laying the groundwork for a scalable foundation that enables us to manage compliance data effectively across LATAM, EMEA, and APAC.This is an opportunity to make a significant impact by leading the charge on a critical business functionWhat will you be doing?Lead 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 ETL processes, and ensuring data quality from the ground up.You will proactively engage with IT and data teams to secure the necessary supportDesign, build, and deploy advanced machine learning models to detect and prevent financial crime, with a focus on minimizing false positives and identifying new typologiesEngineer robust features from transaction data, leveraging attributes like frequency, location, and amounts to enhance model accuracyImplement and maintain real-time and batch monitoring systems to effectively analyze millions of transactions on a monthly basisEngage 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 compliantGenerate comprehensive reports and dashboards for regulatory reporting and internal insights, communicating your findings to both technical and non-technical stakeholdersWhat skills do you need?A Bachelor\'s or Master\'s degree in Computer Science, Data Science, Statistics, or a related fieldA minimum of 5 years of experience as a Data Scientist, with a strong focus on AML/CFT transaction monitoringProficiency 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 plusProven expertise in data preprocessing, feature engineering, and model evaluation techniquesA deep understanding of AML/CFT regulations, compliance requirements, and best practices is a significant advantageStrong experience in data segmentation, including the ability to conduct customer segmentationA proactive and collaborative mindset, with the ability to take the lead in a small team and drive projects to completion by engaging with internal and external partnersExcellent problem-solving skills, attention to detail, and a passion for building scalable and robust systemsWhat do we offer?Remote work: work from anywhere or one of our offices around the globeFlexibility: we have flexible schedules and we are driven by performanceFintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativityReferral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewardedLearning & development: get access to a Premium Coursera subscriptionLanguage classes: we provide free English, Spanish, or Portuguese classesSocial budget: you\'ll get a monthly budget to chill out with your team (in person or remotely) and deepen your connectionsdLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team?We've got your backFor people based in Montevideo (Uruguay), 55% of the monthly attendance at the office is required.This requirement does not apply to IT and Fraud rolesWhat 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 processAlso, you can check out our webpage, LinkedIn, Instagram, and YouTube for more about dLocalSeniority levelNot ApplicableEmployment typeFull-timeJob functionInformation Technology#J-*****-Ljbffr