
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.
🔥 3 hours ago
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• 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).
• 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.
• 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 • 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.
Apply Now🔥 4 hours ago
Senior Associate in Commercial Banking & Lending Risk and Controls building risk management frameworks. Advising business lines on risk identification and compliance measures.
🔥 4 hours ago
Risk Management Professional leading quality audits within CenterWell’s Utilization Management program, ensuring compliance with regulatory standards.
🔥 5 hours ago
1001 - 5000
Sr. Identity Governance Engineer role focused on maintaining and supporting identity governance solutions. Requires 3-5 years experience and offers remote work from various U.S. locations.
🕒 Yesterday
Risk Policy Specialist leading investigative research and supporting clients within fintech regulatory trends. Collaborating with internal teams to ensure accurate risk analysis across various domains.
🕒 Yesterday
Manager of Credit Strategy establishing credit strategies aligned with risk appetite at Octane. Analyzing data to optimize underwriting strategies and manage risk in the recreational vehicle sector.
🇺🇸 United States – Remote
💵 $110k - $150k / year
💰 $375M Debt Financing on 2022-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
🎲 Risk
🦅 H1B Visa Sponsor