Note: The job is a remote job and is open to candidates in USA. Empower Retirement, LLC is dedicated to transforming financial lives by providing a flexible work environment and promoting internal mobility. The Senior Analyst, Technology Risk will identify and manage technology risks associated with machine learning and generative AI while partnering with various teams to ensure compliance and safety in AI solutions.
Responsibilities
- 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)
Skills
- 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
- Relevant certifications (preferred but not required), such as CRISC, CISM, CISSP, FRM, or AI-related certifications
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.
- Other necessary computer equipment, will be provided.
Company Overview