Related skills
sql python prompt engineering scikit-learn llms๐ Description
- Define model governance for AI/ML at Mercury.
- Own validation, monitoring, and governance of Mercury's AI/ML portfolio.
- Partner with data scientists, engineers, compliance, and product teams.
- Shape industry-wide approach to MRM in AI for fintech.
- Develop AI-enabled automation to speed governance and validation workflows.
- Champion MRM as a strategic enabler of safe AI adoption.
๐ฏ Requirements
- Bachelor's degree; 6โ10 years AI/ML model experience.
- Proficient in Python and SQL; ML tooling like scikit-learn, XGBoost.
- Familiar with LLMs, RAG, prompt engineering, AI agent frameworks.
- Experience validating/testing ML models and generative AI systems.
- Knowledge of model risk governance and regulatory expectations.
- Excellent written and verbal communication; explain risk to scientists/regulators.
๐ Benefits
- The total rewards package includes base salary, equity, and benefits.
- Equal employment opportunity employer; diversity and belonging.
- We provide reasonable accommodations during recruitment.
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