Jobs › Compliance Analyst - AI Governance
Compliance Analyst - AI Governance
Job at a glance
- Category
- AI Governance
- Work arrangement
- On-site
- Location
- Bengaluru, India
- Posted
- Aug 31, 2026
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AlphaSense is hiring a Compliance Analyst - AI Governance in Bengaluru, India. This is a AI Governance job in the governance, risk, and compliance field. Review the full details below and apply directly with AlphaSense.
About AlphaSense:& ; The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research company filings event transcripts expert calls news trade journals and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together AlphaSense and Tegus will accelerate growth innovation and content expansion with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers including a majority of the S& ;P 500. Founded in 2011 AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S. U.K. Finland India Singapore Canada and Ireland. Come join us! About the Role: The AI Governance Analyst is central to building and operating AlphaSense’s AI governance program helping ensure that the way we deploy build and procure AI systems is well-governed well-documented and defensible to regulators auditors and enterprise clients. Sitting within the Strategic Risk team this role owns the day-to-day execution of AI risk assessments intake classification evaluation and documentation that keep the program running at scale. As AlphaSense matures its governance infrastructure including the rollout of a dedicated GRC platform to automate assessment workflows this role acts as the operational backbone of the program turning frameworks such as the EU AI Act NIST AI RMF and ISO/IEC 42001 into repeatable auditable processes that grow with the business. This is a risk and governance role not a hands-on AI engineering role well-suited to someone who understands how AI systems create risk and knows how to manage it. What You’ll Do: Complete AI risk assessments using established templates and criteria gathering details on AI use cases working through classification and control questions and preparing draft assessments for senior review. Maintain the accuracy of the AI system inventory by adding and updating records of AI/ML systems vendors and use cases. Leverage the AI governance platform to enter assessment data follow set workflows
Full responsibilities and requirements are on AlphaSense's application page.
Apply for this job →Location and market context
This job is based in Bengaluru, India on-site. Local candidates benefit from being close to AlphaSense's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance jobs
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance job
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how AlphaSense would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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