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Mid-level Bangalore AML/data analytics role with moderate brand and domain specificity attracts moderate competition.
High because financial-crimes/AML regulatory expertise is required alongside data analytics skills, limiting cross-industry fit.
High due to explicit 3-7 years requirement plus mandatory advanced SQL, BI tools, and financial-crimes domain skills.
Lead data management and analytics initiatives across Financial Crimes programs including AML, KYC, Screening, and Transaction Monitoring to improve data quality and risk management.
Manage production issues related to Financial Crimes data and applications, performing root cause analysis and coordinating timely resolutions.
Develop key risk and operational metrics, create executive reporting, and support Financial Crimes data modernization and regulatory compliance efforts.
Bachelor's degree in Business, Finance, Computer Science, Information Systems, Data Analytics, or related field.
3-7 years of experience in risk management, financial crimes, compliance, data management, data analytics, or regulatory reporting.
Advanced SQL and experience with BI/reporting tools such as Power BI or Sigma.
Work Experience Required: 3-7 years in relevant fields.
Demonstrated experience working with financial services data and Financial Crimes programs (AML, KYC, Screening, Transaction Monitoring).
Strong analytical skills with ability to perform root cause analysis and communicate findings across technical and non-technical stakeholders.
Experience supporting large-scale data modernization, regulatory reporting initiatives, and familiarity with data governance and cloud data platforms (e.g., Databricks, Snowflake).