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Tier-1 brand and Bangalore location increase competition, niche wholesale regulatory focus reduces density.
Strong wholesale lending regulatory and data governance focus limits transferability across industries.
Explicit 7+ years requirement plus regulatory and data governance tooling increases screening rigor.
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Own end-to-end data quality review and stewardship for wholesale credit regulatory reporting ensuring compliance and accuracy.
Design, implement, and automate data analytics and AI tools to detect data anomalies, support regulatory filing and internal risk management.
Manage control development, issue logging, and remediation prioritization while acting as SME for internal and regulatory audits and change management.
Bachelor's degree in Data Science, Computer Science, Finance, or related field.
7+ years experience in financial services, legal, or regulated industry; preference for wholesale credit and regulatory reporting experience.
Hands-on experience with data analytics tools including Python, SQL, Excel, and visualization tools like Power BI or Tableau.
Work Experience Required: 7+ years in relevant industries as stated above.
Domain expert in wholesale credit products with strong knowledge of regulatory requirements and risk management.
Skilled in developing AI and data analytics solutions with ability to translate business needs into technical use cases.
Experienced in managing controls and issues in a regulatory environment, collaborating across business, risk, and technology teams.