AI Technology Risk Manager

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $114k - $165.3k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Execute model risk assessments and validation activities for machine learning, generative AI, large language models, agentic AI, and other advanced analytical models across the model lifecycle • Perform independent review and challenge of AI and machine learning models • Assess conceptual soundness and appropriateness of development, testing, validation, and monitoring activities • Evaluate AI-specific risks including performance, reliability, bias, fairness, explainability, robustness, data quality, hallucination, drift, misuse, and human oversight • Develop, review, and maintain model documentation and validation reports • Maintain the enterprise model inventory and model lifecycle records • Track validation findings, limitations, remediation activities, exceptions, and other model risk issues • Support model performance monitoring and periodic review activities • Develop and maintain model risk metrics, key risk indicators, inventory reporting, validation status reporting, and issue tracking • Prepare model risk assessments, validation reports, conclusions, and recommendations for stakeholders and governance committees • Enhance AI model risk management policies, standards, procedures, methodologies, templates, controls, and governance processes • Partner with data science, engineering, product, business, technology risk, and enterprise risk teams • Assess third-party AI models, foundation models, platforms, and model-related services • Monitor regulatory guidance, supervisory expectations, industry standards, and leading practices related to model risk and AI governance • Exercise independent judgment and communicate material findings to the Senior Manager and risk stakeholders • Contribute recommendations related to model exceptions, risk acceptances, and remediation plans

🎯 Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, Risk Management, or a related field • Minimum of 7 years of experience in model risk management, model validation, AI/ML risk, quantitative risk, data science, technology risk, or a related discipline • Hands-on experience performing model risk assessments, model validation, or independent review and challenge of machine learning, generative AI, or advanced analytical models • Experience evaluating model methodologies, assumptions, data, performance metrics, testing approaches, limitations, and ongoing monitoring • Strong understanding of machine learning and AI technologies, including large language models, foundation models, generative AI, model training and evaluation, retrieval-augmented generation, and agentic AI • Understanding of model lifecycle governance, including model identification, risk classification, validation, inventory management, implementation, monitoring, change management, and retirement • Experience developing, reviewing, or maintaining model documentation and model inventory information • Knowledge of model risk management principles, responsible AI practices, data governance, and AI governance frameworks • Familiarity with accuracy, stability, robustness, benchmarking, back-testing, sensitivity analysis, bias and fairness testing, drift monitoring, and model limitations • Ability to independently assess and challenge complex quantitative and technical concepts using sound risk judgment • Strong written and verbal communication skills • Strong analytical skills, attention to detail, and ability to manage multiple reviews and governance activities simultaneously • Ability to collaborate across data science, engineering, technology, risk, compliance, and business teams • Must be authorized to work for any employer in the U.S.; no employment visa sponsorship, including CPT/OPT • Reliable high-speed internet with a wired connection and suitable home workspace

🏖️ Benefits

• Medical, dental, vision and life insurance • 401(k) plan with generous company matching contributions up to 6% • Financial advisory services • Potential company discretionary retirement contribution • Broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment with the option to wear jeans • Paid time off program • Ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Paid parental leave • Paid short- and long-term disability • Family and Medical Leave (FMLA) • Business Resource Groups open to all • Flexible hours • Reliable high-speed internet and necessary computer equipment provided for remote and hybrid positions