TL;DR
Senior Analyst, Technology Risk (AI/ML): Identifying, assessing, and managing technology risks associated with machine learning, generative AI, and emerging technologies with an accent on executing risk assessments and ensuring AI/ML solutions are safe, ethical, and compliant. Focus on performing independent risk review of AI/ML models and supporting the establishment of AI/ML risk governance frameworks.
Location: Remote - Nationwide. Applicants must be authorized to work for any employer in the U.S. and unable to sponsor or take over sponsorship of an employment visa (including CPT/OPT).
Salary: $96,100.00 - $135,700.00
Company
hirify.global is a financial services company focused on helping customers achieve financial freedom through flexible work environments and fluid career paths.
What you will do
- Partner with enterprise risk and application teams to define, document, and build ML and AI governance policies, processes, controls, and tools.
- Execute technology risk assessments for Machine Learning, Generative AI, and advanced analytics solutions.
- Perform independent risk review and challenge of AI/ML models, including data sourcing, training approaches, and validation methods.
- 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.
- Monitor emerging regulatory guidance, industry standards, and best practices related to AI, model risk, and responsible AI.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Risk Management, or a related field.
- 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 AI/ML technologies, Responsible AI principles, model risk management, and data governance practices.
- Experience working in regulated environments (e.g., financial services, insurance, healthcare, or fintech).
- Must be authorized to work for any employer in the U.S. and unable to sponsor an employment visa (including CPT/OPT).
Nice to have
- Relevant certifications such as CRISC, CISM, CISSP, FRM, or AI-related certifications.
Culture & Benefits
- Flexible work environment promoting internal mobility, purpose, well-being, and work-life balance.
- Comprehensive medical, dental, vision, and life insurance benefits.
- Retirement savings with a 401(k) plan featuring generous company matching contributions and financial advisory services.
- Generous paid time off, including company holidays, floating holidays, and paid parental leave.
- Tuition reimbursement up to $5,250/year and paid volunteer time, alongside an inclusive business-casual environment.
- Requires reliable high-speed internet with a wired connection and a dedicated home workspace for remote positions.
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