Senior Technology Risk Analyst AI CoE
Fidelity Investments is a privately held, Boston-headquartered financial services company providing investing, trading, retirement, wealth management, brokerage, workplace benefits, custody and clearing, and digital-asset services.
Maintainer signals as of 9/2/2026
About Fidelity Investments
Fidelity serves individual investors, employers, wealth-management firms, institutions, innovators, and charitable donors through diversified financial-services businesses. Current offerings include brokerage and trading, mutual funds and exchange-traded products, retirement and workplace savings, financial planning and advice, wealth management, institutional custody and clearing, and crypto/digital-asset products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will assess AI risks, control environments, governance frameworks, and model lifecycle controls. You will partner with business, technology, compliance, cybersecurity, and audit stakeholders; establish risk metrics and reporting; advise on AI governance standards; and support assurance, testing, issue management, audits, and regulatory examinations.
Requirements
- 5+ years of AI, information technology risk, cybersecurity, controls, or audit experience
- Technology risk assessment, control assessment, or IT audit experience
- Knowledge of cybersecurity, technology risk, and operational risk principles for AI solutions
- Ability to analyze AI architectures, data flows, model development processes, and technical control environments
- AI governance and risk knowledge
- Knowledge of NIST AI Risk Management Framework, ISO/IEC 42001, SOC 2, ISO 27001, and COBIT
- AI profiling and analysis tool experience preferred
Responsibilities
- Provide independent oversight of AI risks
- Execute AI risk assessments and control evaluations
- Assess AI governance frameworks, model lifecycle controls, and responsible AI practices
- Partner with business, technology, compliance, cybersecurity, and audit teams
- Establish and monitor AI risk metrics, KRIs, and reporting
- Advise stakeholders on AI governance frameworks, regulatory expectations, and emerging risks
- Support control testing, issue management, audit engagement, and regulatory examinations
- Enhance AI governance, control environments, and responsible AI programs