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Tier-1 bank, mid-senior data role in metro with broad analytics skills increases competition.
Financial Crime compliance expertise required makes role less transferable across industries.
Mandatory SQL/Python/SAS and Financial Crime domain expertise make shortlisting stringent.
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Lead design and execution of data-driven testing and analytics for Financial Crime controls using SQL, Python, SAS to identify control gaps and emerging risks.
Develop interactive dashboards and reports for management insights; drive automation and AI-enabled analytics to enhance Financial Crime Agile Testing capabilities.
Partner with Compliance, Operations, Technology, and Risk to influence decision making, remediate control weaknesses, and advance the organisation's compliance and risk management.
Experience Required: Data Analytics, Financial Crime, Compliance, Risk, or Audit related role (exact years not specified).
Strong skills in SQL, Python, SAS, and experience analyzing large datasets across Financial Crime domains like AML, KYC, Transaction Monitoring.
Proven knowledge of statistical analysis, data mining, NLP, AI-enabled analytics, and data visualization tools like Tableau or equivalent.
Based in Pune (onsite location requirement).
Experienced in Financial Crime domain with practical expertise in control testing, quality assurance, and investigative data analysis.
Able to influence and negotiate successfully with stakeholders across Compliance, Technology, and Risk to implement analytics solutions in a fast-paced environment.
Demonstrated ability in integrating advanced analytics, AI/GenAI technologies, and cloud services (AWS) to evolve assurance capabilities and drive strategic outcomes.