arq - Senior Data Scientist, FinCrime

• We're looking for a Senior Data Scientist to help build the intelligence layer behind ARQ's financial products. You'll work on some of our most important risk and financial crime challenges, developing machine learning models that help us detect fraud, prevent losses, and make better decisions at scale. • This is a highly impactful role where you'll take problems from idea to production — partnering with Product, Engineering, and Operations teams to turn large-scale datasets into models that directly influence customer and business outcomes. • You'll join a fast-growing team helping build the future of financial services for more than 2 million customers across the Americas. • 5+ years of experience across Data Science, Machine Learning, Software Engineering, or related disciplines. • Strong Python skills and experience working with large-scale datasets. • Proven experience developing and deploying machine learning models in production environments. • Strong understanding of supervised learning techniques, particularly classification problems. • Experience with anomaly detection, fraud prevention, risk modeling, or related domains. • Ability to translate business challenges into data-driven solutions. • Experience working cross-functionally with Product, Engineering, and business stakeholders. • Strong communication skills and a pragmatic approach to problem-solving. • Comfortable operating in fast-moving environments with high ownership. • Experience in financial crime, fraud prevention, AML, risk, or payments. • Experience in fintech, banking, or financial services. • Backend engineering experience and familiarity with production systems. • Experience building real-time decisioning or risk platforms. • Familiarity with modern MLOps practices and model monitoring.