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Tier-1 bank, generalist data analyst title, and Pune location increase applicant competition.
Role requires deep Financial Crime domain expertise making candidate backgrounds less transferable across industries.
Mandatory SQL/Python/SAS and Financial Crime expertise in a regulated bank increases filtering rigor.
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Lead data-driven testing and analytics to evaluate the effectiveness of Financial Crime controls and identify emerging risks.
Develop and execute analytical test scripts using SQL, Python, and SAS; design interactive dashboards and reports for decision support.
Collaborate with Compliance, Operations, Technology, and Risk teams to guide remediation of control weaknesses and support automated testing initiatives.
Experience Required: Data Analytics, Financial Crime, Compliance, Risk, Audit, or related field (work experience duration not explicitly mentioned).
Proficiency in SQL, Python, and SAS with experience analyzing large Financial Crime datasets (KYC Onboarding, AML, Transaction Monitoring, Sanctions).
Knowledge of statistical analysis, data mining, NLP, AI-enabled analytics, and data visualization tools such as Tableau.
Location Requirement: Role based in Pune.
Experienced with financial crime domains including AML, Sanctions, Customer Due Diligence (CDD/KYC), Fraud, or Transaction Monitoring.
Strong analytical and problem-solving skills demonstrated through identifying trends, anomalies, and control gaps in financial crime data.
Able to work cross-functionally with Compliance, Technology, Risk and Operations to implement data-driven control testing and automation solutions.