Staff Machine Learning Model Risk Specialist
Core
Ensure risk of models and GenAI applications impacting Upstart Bank is well-understood, monitored, and mitigated to maintain credibility with regulators and capital providers.
Role type
Staff Machine Learning Model Risk Specialist
Builds
Comprehensive model risk management program for a new bank, covering ML models and GenAI applications across lending, fraud, compliance, and operational risk.
Domain
Fintech / Banking / AI Governance / Model Risk Management
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Model risk management, model validation, model governance, quantitative risk analysis, risk-based approach, technical writing, regulatory communication, coding (Python/R/SQL), Git
Preferred skills
PhD in quantitative field, GenAI evaluation (prompt design, guardrails, monitoring), model fairness and explainability, experience in non-credit underwriting models, advanced AI/ML topics
Technologies
Machine Learning, Generative AI, Python, R, SQL, Git
Responsibilities
Partner with ML teams and business sponsors to maintain model inventories and governance materials; Review methodologies, assumptions, and controls to challenge models; Conduct model risk assessments and quantitative analyses; Develop governance approaches for new technologies; Respond to regulator and stakeholder inquiries; Track and escalate model risk issues.
Seniority
Staff, hands-on IC with strategic oversight