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Tier-1 bank, mid-level analytics in Bangalore with common Python/SQL skills yields high applicant competition.
Role demands AML banking knowledge though Python/SQL/statistics are transferable; moderate background sensitivity.
Explicit 2-4 years plus required Python/SQL/Hive and AML analytics makes screening highly strict.
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Lead threshold tuning and optimization efforts including developing logistic regression models to predict customer behavior and detect anomalies.
Perform data validation, preprocessing automation, advanced statistical analysis, and generate actionable insights for AML data science projects.
Document methodologies and present complex analytical results clearly to technical and non-technical stakeholders across global teams.
2-4 years of experience in Financial Services or Analytics Industry.
Master's degree in Mathematics, Operational Research, Business Administration, Economics, or related numerate subject from a premier institute.
Proficiency in Python, SQL, Hive; strong statistics and quantitative analysis skills.
Experience working with financial services firms and knowledge in AML-related analytics such as threshold tuning, segmentation, anomaly and outlier detection.
Experienced with both threshold optimization and logistic regression modeling applied to customer transaction behavior in banking or AML contexts.
Comfortable switching between multiple analytical work streams and working with global business partners across geographies.
Able to clearly communicate technical analyses to diverse audiences and automate data processes effectively.