Varos is an AI Market Research firm, providing competitive intelligence, benchmarks and market research.

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Backed by top-tier venture capital and steered by a team of former enterprise CIOs, Varos Research transforms market intelligence into tangible success.

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Overview

We are looking for a KYC/Compliance Advisor with real-world expertise in large enterprise settings. Your primary role is to provide insights for our research on how generative AI is transforming compliance processes. This is not about handling our internal KYC, but rather guiding us with practical knowledge and feedback to shape our GenAI solutions and reports.

https://interviews.varosresearch.com/kycaiycinterview – Begin your 10-minute qualitative AI interview.

Key Responsibilities

• Expert Advice: Offer detailed knowledge of KYC/compliance workflows in large organizations.
• Research Collaboration: Participate in interviews and discussions to highlight how enterprises can apply AI for compliance automation.
• Regulatory Context: Provide guidance on relevant frameworks (AML, GDPR, etc.) and potential AI use cases.
• Strategic Input: Help refine our research approach and product strategies for deploying AI in regulated industries.

Required Qualifications

• Industry Experience: Significant background in KYC/compliance roles at large, regulated enterprises (financial services, fintech, etc.).
• Regulatory Expertise: Familiarity with major compliance regulations and their practical requirements.
• AI Awareness: Interest or past involvement in how AI (particularly GenAI) can improve compliance workflows.

Communication & Analysis: Ability to convey complex compliance requirements and share real-world examples or case studies.

We have highly scalable data pipelines that process Terabytes of data every month, enrich data via integrations and enables zero latency queries all by maintaining data privacy. A large portion of the technical work is dealing with complex data normalization across companies and integrations, all in real-time.

Back-end mainly built with Python and SQL (using Snowflake and AWS). In the front-end, users gets a dashboard built in React.