AI / Data Engineer
Core
Design, develop, validate, and deploy advanced statistical and machine learning models for real-time AI agents serving financial institutions and digital asset platforms.
Role type
Senior AI / Data Engineer (Financial AI)
Builds
Production-ready AI agents, decision-making models, and data pipelines for credit scoring, fraud detection, and risk modeling.
Domain
Financial Technology (FinTech) / Digital Assets / AI
Deliverable
production ML models
Required skills
Python, scikit-learn, PyTorch, TensorFlow, statistical modeling, classification and regression, time series forecasting, anomaly detection, graph ML, fraud detection, credit risk modeling, explainable AI, feature engineering, data pipeline design, API design, model monitoring, mentoring
Preferred skills
AI agent design, multi-step reasoning systems, blockchain and digital asset modeling, regulatory compliance (FATF, EU AI Act, MiCA), low-latency inference architectures, AWS, CI/CD for ML, data quality frameworks
Technologies
Python, scikit-learn, PyTorch, TensorFlow, AWS
Responsibilities
Lead the full machine learning lifecycle from problem definition to deployment and monitoring; develop innovative models for fraud detection, credit scoring, and liquidity risk; design and optimize feature stores and data pipelines; conduct advanced research on graph ML and self-supervised learning; ensure model explainability and auditability; mentor data scientists and establish modeling standards; communicate model results to stakeholders and regulators.
Seniority
Senior, hands-on IC with mentorship responsibilities
