Forward-Deployed Architect, Credit Analytics & ML Platforms

📋 Description

• Translate business problems into an architecture, practical delivery plan and clear acceptance
• Design the path from working models and dashboards to a production-ready ML platform. Make
• Build and improve reproducible workflows for data preparation, feature engineering, training
• Work with the modelling lead on how probability of default, prepayment, lifetime risk and loss
• Strengthen the data foundation: trace results to source, investigate data-quality issues, document
• Improve the reliability of the Snowflake-backed analytics application, including deployment

🎯 Requirements

• A track record of designing and delivering production data or ML systems, with ownership extending
• Strong hands-on Python and SQL. You should be comfortable investigating a dataset, reviewing
• Practical MLOps experience: reproducible pipelines, model and data versioning, testing, deployment
• Experience with cloud data platforms and modern warehouses. Snowflake experience is particularly
• An understanding of model evaluation, calibration, data leakage, changing populations and the
• The ability to work through incomplete documentation and inconsistent business definitions, and