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Job Description
Structured overview of role & requirementsAbout This Role
Lead development and implementation of ML/AI/Gen AI solutions to detect suspicious AML transaction activities.
Analyze transaction data using advanced statistical methods and communicate findings to business partners and senior leaders across global geographies.
Maintain data quality, automate data processes, and document analytical solutions to enhance AML detection capabilities.
Minimum Requirements
4+ years experience in Financial Services or Analytics Industry.
Proficiency in Python, SQL, Hive, and advanced programming with big data tools (e.g., Spark, Hue, Impala).
Master's degree in a numerate subject (Mathematics, Operational Research, Economics, Business Administration) from a premier institute or equivalent performance.
Experience with AI, Gen AI, and statistical modelling relevant to AML/financial crime analytics.
Ideal Candidate Profile
Experienced in AML transaction monitoring within banking or financial services environment.
Comfortable collaborating across multiple geographic regions and communicating complex analytics to technical and non-technical stakeholders.
Strong quantitative and statistical background with practical skills in developing and deploying cutting-edge AI/ML models for financial crime detection.