<span><p>Senior Data Scientist, Financial Crime</p><p>About the Role</p><p>We are looking for an experienced Senior Data Scientist to join our Financial Crime (FinCrime) team.</p><p><br></p><p>In this role, you will apply machine learning, advanced analytics, and anomaly detection to help identify and prevent fraudulent and suspicious activity across our global financial network.</p><p>You will work closely with cross-functional teams to translate complex business challenges into scalable, data-driven solutions. This is a hands-on role where you will:</p><p><br></p><ul><li>Build, test, and deploy machine learning models.</li><li>Analyze large and complex transactional datasets.</li><li>Develop scalable data and feature-engineering pipelines.</li><li>Integrate ML solutions into production environments.</li><li>Measure model performance and real-world business impact.</li><li>Help strengthen fraud detection and financial crime prevention capabilities.</li></ul><p><br></p><p>What You'll Do</p><p><br></p><ul><li>Develop Machine Learning Solutions: Design, build, test, and deploy ML models focused on anomaly detection, fraud prevention, and suspicious transactional patterns.</li><li>Build with Python: Develop prototypes and production-ready solutions using Python and modern machine learning frameworks.</li><li>Productionize ML Models: Move models beyond experimentation by integrating them into production environments, monitoring performance, and measuring effectiveness.</li><li>Develop Data Pipelines: Build scalable ETL, data-processing, and feature-engineering pipelines that transform raw data into reliable inputs for ML models.</li><li>Work in the Cloud: Develop and deploy data and ML solutions using cloud platforms such as AWS, Azure, or GCP.</li><li>Explore Complex Data: Analyze large transactional datasets to identify patterns, correlations, anomalies, emerging risks, and potential fraudulent activity.</li><li>Measure Business Impact: Define meaningful KPIs and evaluate model performance to ensure solutions deliver measurable business outcomes.</li><li>Communicate Insights: Translate complex technical findings into clear, actionable recommendations for both technical and non-technical stakeholders, including senior leadership.</li><li>Solve Complex Problems: Break down ambiguous or large-scale business challenges into manageable analytical problems and deliver solutions iteratively.</li><li>Drive Innovation: Stay current with developments in machine learning, anomaly detection, data engineering, cloud technologies, and emerging AI capabilities.</li></ul><p><br></p><p>What We're Looking For:</p><p>Experience</p><ul><li>4 - 5+ years of experience in Data Science, Machine Learning, or a related field.</li><li>Demonstrated experience building, deploying, and monitoring machine learning models in production environments.</li><li>Experience working with large, complex datasets and developing solutions that generate measurable business impact.</li><li>Experience applying machine learning to anomaly detection, fraud detection, financial crime, payments, banking, or fintech is highly desirable.</li><li>Experience partnering with technical and business stakeholders to translate business requirements into data-driven solutions.</li></ul><p><br></p><p>Technical Skills:</p><ul><li>Strong hands-on proficiency in Python.</li><li>Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong understanding of machine learning modeling, anomaly detection, and model evaluation techniques.</li><li>Experience developing ETL pipelines, data-processing workflows, and ML features.</li><li>Experience integrating ML models and data pipelines with production or enterprise systems.</li><li>Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.</li><li>Strong ability to analyze, visualize, interpret, and communicate insights from complex datasets.</li></ul><p><br></p><p>What Will Help You Succeed:</p><ul><li>Strong analytical, problem-solving, and critical-thinking skills.</li><li>Ability to connect technical solutions with real business challenges.</li><li>Excellent communication and cross-functional collaboration skills.</li><li>Ability to explain complex technical concepts clearly to non-technical stakeholders and senior leadership.</li><li>Comfortable working in a fast-paced environment and managing multiple priorities.</li><li>Proactive, curious, and comfortable working with ambiguity.</li><li>Strong interest in emerging AI, machine learning, and financial crime prevention technologies.</li></ul><p><br></p><p>Benefits in Brazil</p><p>For employees based in Brazil, benefits include:</p><ul><li>30 days of vacation per year</li><li>Health, dental, oncological, and life insurance</li><li>Meal allowance</li><li>English-language learning support</li><li>Annual salary review based on performance</li><li>Professional development and career growth opportunities</li></ul><p><br></p><button><span><span><span>…</span><span> more</span></span></span></button></span>