Data Scientist (Financial AI)

Get AI-powered advice on this job and more exclusive features. At CloudWalk , we’re building the best payment network on Earth (then other planets ). We’re an AI-first fintech unicorn bringing justice to Brazil’s broken payment system. We work in a traditional financial sector—but we aim to break conventions with bold, innovative thinking. Financial AI Team We’re part of CloudWalk’s Financial Services domain, powering money movement and credit decisions—including real-time credit engines, repayment orchestration, dynamic pricing, and collections. We build and run scoring models, underwriting systems, and pricing logic that keep credit decisions fast, fair, and explainable. We push toward event-driven, AI-augmented decisioning where experiments directly shape credit limits, default rates, and merchant growth. We believe in data-driven democratization of access to capital. We put curiosity first—exploring before exploiting. We solve puzzles that demand safety, compliance, explainability, and speed all at once. What You’ll Do Design and execute experiments for credit models, with rigorous frameworks to measure business and merchant impact. Build systematic experimentation infrastructure—metrics, statistical methodologies, and evaluation criteria for credit model performance. Implement A/B testing systems with proper statistical power, randomization, and causal inference methods. Analyze results from multiple model variations, translating them into clear credit policy recommendations. Develop scalable best practices balancing statistical rigor with business speed. Collaborate with engineering to deploy and monitor experimental models in real-time decision engines, with rollback safety nets. Apply measurement science to link experiments to merchant success, default rates, and financial inclusion outcomes. Bridge offline insights to production systems through careful validation and gradual rollout strategies. Technologies / Techniques Used Python for analysis, modeling, and statistical computing (core language in our stack). SQL for large-scale feature engineering on financial datasets. Google Cloud Platform BigQuery for analytics infrastructure. Statistical modeling & experimental design for credit risk evaluation. Machine learning frameworks for classification and risk modeling. MLflow for deployment and monitoring in production. Docker & Kubernetes for orchestration with engineering teams. What You’ll Need Curiosity, initiative, and a bias toward experimenting and learning fast. Strong experimental design expertise (A/B testing, causal inference, measurement frameworks). Statistical rigor: power analysis, bias detection, multiple testing corrections. Python proficiency for analysis, modeling, and statistical computation. Measurement science skills—designing metrics and building robust evaluation frameworks. Experience with machine learning for classification and risk modeling. SQL skills for feature engineering and large dataset analysis. Strong communication skills in English & Portuguese, with ability to explain technical results to non-technical audiences. Nice to Have Experience with Google Cloud Platform and BigQuery. Hands-on work in credit model experimentation and measurement in production fintech/digital lending environments. MLOps experience—deployment, monitoring, and experimentation at scale. Background or experience in applied statistics or measurement science in business contexts (economics, operations research, etc.). Recruitment Process Outline Online Assessment – evaluating theory and logical reasoning. Technical Case Study – working with real-world financial data & experiments. Technical Interview – discussion & case presentation. Cultural Interview – alignment with CloudWalk values. If you are not willing to take an online quiz and work on a test case, do not apply. Diversity and inclusion We believe in social inclusion, respect, and appreciation of all people. We promote a welcoming work environment, where each CloudWalker can be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Referrals increase your chances of interviewing at CloudWalk, Inc. by 2x We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. J-18808-Ljbffr

Location: São Paulo, São Paulo, BR

Posted Date: 11/13/2025