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Tier-1 employer, mid-level generalist title, and metro location amplify applicant competition.
Financial crime compliance requires domain-specific experience, reducing cross-industry transferability.
Regulated banking role with mandatory domain and technical skills raises strict shortlisting.
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Perform data-driven testing and analytics of Financial Crime controls using SQL, Python, SAS, and data visualization tools to identify control gaps and emerging risks.
Develop, execute, and automate analytical test scripts and interactive dashboards to provide actionable management insights supporting agile testing and risk-based assurance.
Collaborate with Compliance, Operations, Technology, and Risk stakeholders to advise on remediation of control weaknesses and contribute to continuous improvement through analytics and automation.
Experience in Data Analytics within Financial Crime, Compliance, Risk, Audit, or related field.
Proficiency in SQL, Python, SAS for analysis of complex datasets in Financial Crime domains like AML, KYC, Transaction Monitoring.
Knowledge of statistical analysis, data mining, NLP, AI-enabled analytics, and data visualization tools (e.g., Tableau).
Work Experience Required: Not explicitly mentioned in the JD; Location: Pune, India.
Strong domain knowledge of Financial Crime disciplines including AML, Sanctions, Fraud, Customer Due Diligence, and Transaction Monitoring.
Operates effectively in a cross-functional agile environment partnering with Compliance, Technology, Risk teams to drive control testing and compliance oversight.
Experience in developing automated, re-usable analytical solutions and applying advanced analytics including machine learning to support predictive risk assessments.