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Tier-1 brand, mid-level data role in a metro with broad skills and high applicant interest.
Strong Financial Crime and regulatory compliance bias limits cross-industry transferability.
Mandatory FinCrime domain knowledge and SQL/Python/SAS skills with regulatory control experience increases shortlisting rigor.
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Lead design and execution of data-driven testing and advanced analytics to assess Financial Crime control effectiveness and identify risks.
Develop and deploy complex analytical test scripts using SQL, Python, SAS to analyze large, multi-source datasets supporting agile testing and thematic investigations.
Collaborate with Compliance, Operations, Technology, and Risk stakeholders to advise on remediation, drive automation opportunities, and advance digital adoption including AI and technology-enabled testing capabilities.
Strong proficiency in SQL, Python, and SAS with experience analyzing Financial Crime datasets (KYC, AML, Sanctions, Transaction Monitoring).
Experience in data-driven control testing, quality assurance, risk assessments or investigative analysis within Financial Crime or Compliance functions.
Knowledge of statistical analysis, data mining, NLP, AI-enabled analytics and data visualization tools like Tableau or equivalent.
Work Experience Required: Not explicitly mentioned in the JD; Location requirement: Pune, India.
Experienced in Financial Crime domains such as AML, Sanctions, Customer Due Diligence (CDD/KYC), Fraud, and Transaction Monitoring with domain knowledge informing testing approach.
Skilled at stakeholder management and influencing cross-functional teams including Compliance, Risk, Operations, and Technology to deliver control assurance and remediation.
Able to lead complex analytic projects, advise on policy development, and drive strategic evolution of data-led Financial Crime control environment using advanced analytics and AI technologies.