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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and implementation of Machine Learning/AI/Gen AI solutions for AML transaction monitoring to detect suspicious activities.
Analyze transaction data using advanced statistical and qualitative methods to identify suspicious behavior and improve AML detection.
Communicate analytical concepts and results effectively to technical and non-technical business partners, including senior leaders across multiple geographies.
Minimum Requirements
Minimum 4+ years experience in Financial Services or Analytics Industry, preferably with exposure to AML domain.
Strong knowledge of AI, Gen AI, and Machine Learning algorithms and techniques.
Proficient in advanced programming languages and tools including Python (NumPy, Pandas), SQL, Hive, and big data platforms (Hue, Impala, Spark).
Master's degree in a numerate subject (Mathematics, Operational Research, Business Administration, Economics) from a premier institute or equivalent performance record.
Ideal Candidate Profile
Experienced in AML financial crime data analytics within banking or financial services context, with a focus on transaction monitoring.
Technical proficiency backed by a strong statistics and data analytics academic background and hands-on experience with modern ML/AI tools and large-scale data processing.
Capable of working collaboratively with diverse stakeholders, including global teams, and able to document and present complex analyses in a clear, educational style.