Senior Analyst, Technology Risk

Role Overview

• Partner with second line enterprise risk and application teams to define, document, and build ML and AI governance policy, processes, controls, and governance tools.
• Execute technology risk assessments for Machine Learning, Generative AI, and advanced analytics solutions across design, development, deployment, and monitoring phases.
• Perform independent risk review and challenge of AI/ML models, including data sourcing, training approaches, validation methods, and ongoing performance monitoring.
• Support the establishment and ongoing execution of AI/ML risk governance, standards, and control frameworks aligned to the Enterprise Risk Appetite Framework.
• Partner with engineering, data science, product, and business teams to identify risks and embed effective controls into AI/ML systems and processes.
• Assess and support management of third-party and vendor risks associated with AI platforms, tools, models, and data sources.
• Prepare clear risk documentation, assessments, and recommendations for review by the Senior Manager and risk governance forums.
• Monitor emerging regulatory guidance, industry standards, and best practices related to AI, model risk, and responsible AI.
• Contribute to risk metrics, reporting, and materials presented to leadership, risk committees, and second-line partners.
• Exercise independent judgment within established frameworks, provide control feedback and issue identification to the Senior Manager, and escalate significant risks or control gaps in accordance with defined thresholds.
• Contribute analysis and recommendations to risk acceptance decisions (without formal approval authority).

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Risk Management, or a related field
• Master’s degree (or relevant experience in lieu of advanced education)
• 4 to 6 years of experience in technology risk, model risk management, cybersecurity, data risk, or related disciplines
• Hands-on experience performing risk assessments for Machine Learning and/or Generative AI solutions
• Solid understanding of model and agent development on cloud-based infrastructure
• Experience working in regulated environments (for example, financial services, insurance, healthcare, or fintech)
• Experience partnering with engineering and data science teams in fast-paced technology environments
• Strong understanding of AI/ML technologies, including LLMs and model training, validation, and deployment
• Knowledge of Responsible AI principles, model risk management, and data governance practices
• Ability to independently assess and challenge complex technical risks using sound judgment
• Strong written and verbal communication skills, including the ability to explain technical risks to non-technical audiences
• Highly analytical, detail-oriented, and comfortable working with ambiguity
• Proven ability to collaborate effectively across technology, risk, and business teams.

Tech Stack

• Cloud
• Cyber Security

Benefits

• Medical, dental, vision and life insurance
• Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
• Paid volunteer time — 16 hours per calendar year
• Leave of absence programs – including paid parental leave, paid short
• and long-term disability, and Family and Medical Leave (FMLA)
• Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.