Senior Manager, Risk Governance
Insight Global
Job Description
Insight Global is hiring for a Sr Manager who has a strong background in risk governance and AI model risk. It focuses on governance, risk assessment, and framework design for AI and advanced analytics models. The successful candidate will help define how AI models are classified, assessed, monitored, and governed, working closely with Model Risk Management, Quantitative teams, and business stakeholders. Additionally, they will have high visibility and broad stakeholder impact, supporting both first‑line and second‑line risk activities as AI adoption accelerates.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on ca.talent.com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
- 5+ years of experience in model risk management, risk governance, or operational risk within a large financial institution.
- Hands‑on experience with model risk frameworks (including non‑traditional or AI/ML models).
- Strong understanding of AI model use cases in banking and the associated risk considerations.
- Experience developing or implementing AI governance frameworks, policies, or standards.
- Proven ability to operate without a quantitative modeling background while effectively partnering with quantitative and validation teams.
- Strong judgment, problem‑solving, and written communication skills.
- Experience supporting enterprise AI initiatives or emerging technology risk programs.
- Exposure to model validation teams or regulatory model risk expectations (without being a validator).
- Strong stakeholder management experience in large, complex organizations.
- Experience overseeing or coordinating external vendors or consulting resources.
Vacancy posted 8 days ago
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