Senior Analyst, Technology Risk

Job not on LinkedIn

🔥 3 hours ago

🇺🇸 United States – Remote

💵 $96.1k - $135.7k / year

⏰ Full Time

🟠 Senior

🎲 Risk

🦅 H1B Visa Sponsor

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Logo of Empower

Empower

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

• 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.

🏖️ 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 • 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.

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