Forward-Deployed Architect, Credit Analytics – ML Platforms

• Translate business problems into architecture, delivery plans and acceptance criteria
• Design the path from working models and dashboards to a production-ready ML platform
• Build reproducible workflows for data preparation, feature engineering, training, validation, scoring and deployment
• Establish versioning for code, data, models and calibration logic
• Collaborate on probability of default, prepayment, lifetime risk and loss estimates
• Strengthen data foundations through traceability, data-quality investigation, documentation and automated checks
• Improve reliability of the Snowflake-backed analytics application, including deployment, testing, permissions and model-output integration
• Implement MLOps practices including releases, monitoring, failure handling, rollback and operational documentation
• Design for privacy, access control, auditability and model governance
• Lead technical discussions, review code, unblock engineers and keep the client informed
• Assess opportunities for natural-language or LLM-assisted analytics

• Track record of designing and delivering production data or ML systems, with ownership beyond prototypes and architecture diagrams
• Strong hands-on Python and SQL
• Practical MLOps experience, including reproducible pipelines, model and data versioning, testing, deployment and monitoring
• Experience with cloud data platforms and modern warehouses; Snowflake experience particularly relevant
• Understanding of model evaluation, calibration, data leakage, changing populations, model quality and system reliability
• Ability to work through incomplete documentation and inconsistent business definitions
• Strong client-facing communication in English
• Experience leading a small technical team while remaining actively involved in implementation
• Useful additional experience: credit-risk, lending or servicing analytics; regulated financial-services delivery and model governance; Streamlit, Azure ML, semantic data layers or Snowflake analytics applications; configurable ML products; natural-language analytics, text-to-SQL or LLM-assisted workflows