What You Will Do (Essential Responsibilities):

• Maintain the enterprise model inventory, including model owners, purpose, risk rating, and deployment status 

• Apply model risk ratings and confirm required governance steps are completed 

• Coordinate model release approvals, evidence collection, and sign off processes 

• Manage versioning, archiving, and traceability for models and related documentation 

• Ensure models have complete and standardized documentation, such as Model Cards 

• Document model intent, assumptions, limitations, and known risks 

• Capture explainability considerations and any human in the loop processes used 

• Maintain data lineage and dataset information for training, validation, and monitoring 

• Ensure required validation evidence is available, including performance and testing results 

• Support stress testing or review activities for higher risk models 

• Help set up and support ongoing model monitoring activities 

• Trigger governance reviews when model, data, or scope changes occur 

• Partner with engineering, data science, risk, compliance, and governance teams 

• Produce clear and consistent governance documentation for both technical and non-technical audiences 

• Support the preparation and review of datasets used for model testing and validation 

• Support or participate in governance reviews, validations, or review meetings

What You Will Need (Required Knowledge, Skills & Abilities):

• Bachelor’s degree, or higher, in a technical or quantitative field (Computer Science, Engineering, Statistics, Mathematics, or similar) 

• Knowledge, skills and abilities typically gained through 5+ years of experience in model governance, model validation, analytics, or related engineering roles 

• Experience managing model documentation, approvals, controls, or lifecycle tracking 

• Understanding of AI/ML models and how they are developed, tested, and used 

• Familiarity with model validation concepts and benchmarking approaches 

• Working knowledge of programming languages such as Java and Python 

• Familiarity with common data formats such as CSV and JSON 

• Experience writing or reviewing SQL and querying databases, including working with datasets for testing or validation 

• Understanding of application development concepts and software development lifecycles 

• Familiarity with SDKs, APIs, and integration patterns used in production systems 

• Experience working with or supporting systems deployed on cloud platforms (e.g., AWS, Azure, or GCP) 

• Ability to review technical implementations to understand how models are built, deployed, and monitored 

• Experience using documentation or tracking tools to support governance, review, or audit activities 

• Awareness of data privacy and security considerations when working with model data and datasets 

What Would be Nice (Preferred Skills & Experience):

• Experience supporting models used in fraud, risk, or decisioning systems is a plus 

• Knowledge of regulatory or governance expectations related to model risk is a plus 

Who You Are (Soft Skills & Attributes):

• Clear communicator, who can explain complex technical topics simply 

• Confident presenter, able to share information to various types and levels of stakeholders 

• Able to work across multiple teams and stakeholders 

• Detail‑oriented with a strong focus on documentation and accuracy, paired with the ability to identify gaps or issues

• Comfortable working in risk‑aware and regulated environments 

• Organized and methodical in how you manage work and information 

• Proactive and comfortable taking ownership of governance tasks 

What We Offer You (Why Join Us?):

• Flexible hours with the possibility to work full remote (in the US) or from our San Diego office. 

• You'll be able to share feedback to shape and drive innovation using the latest technologies. 

• Opportunities to contribute to a highly diverse, inclusive an Agile native ecosystem. 

• Training and development opportunities in a fast-growing industry. 

• Highly competitive salary + bonus, perks and benefits. 

• A fun and inclusive work environment where teams succeed together.