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Tier-1 brand, metro location, and mid-level ML/Data role drive high applicant density.
Requires AML domain knowledge and ML specialization, limiting cross-industry transferability.
Explicit 4+ years plus mandatory ML/AML technical stack requirements make shortlisting strict.
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Develop and implement ML/AI/Gen AI models to detect suspicious AML transaction activities using advanced statistical analysis.
Analyze transaction data and maintain industry-leading AML detection tools, ensuring data quality and automation of data processes.
Communicate complex analytical insights and formal documentation effectively to senior leaders and global business partners.
4+ years experience in Financial Services or Analytics Industry.
Strong proficiency in Python, SQL, Hive, and advanced statistical and ML/AI/Gen AI algorithms.
Master's degree in Mathematics, Operational Research, Business Administration, Economics, or similar numerate field from premier institute or equivalent performance.
Work Experience Required: 4+ years relevant experience in financial services or analytics.
Experienced in AML transaction monitoring within banking or financial services domain.
Demonstrates ability to operate across geographies and communicate analytical concepts to both technical and non-technical stakeholders.
Strong background in advanced programming, statistical modeling, and continual innovation in data analytics solutions.