Aml Analyst

Yes Bank; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Yes Bank is seeking a skilled AML/AI specialist to drive end-to-end AI/ML project delivery for predictive risk scoring and anomaly detection. You will design automated monitoring rules, tune thresholds, and ensure robust data reconciliation between core banking and AML platforms.

The role requires strong cross-functional collaboration with Data Science, IT, and Compliance Operations, plus hands-on UAT, technical documentation, and governance aligned with audit standards.

Qualifications

• Experience in AML compliance and data analytics for risk scoring and anomaly detection.
• Proven ability to design and implement automated monitoring rules.
• Strong statistical skills for tuning thresholds and reducing false positives.
• Experience reconciling data between core banking platforms and AML systems.
• Ability to translate analytics into production-ready AML tools.
• Experience drafting BRDs and FSDs with audit-ready documentation.

Responsibilities

• AI/ML project delivery: end-to-end implementation for predictive risk scoring and anomaly detection.
• Rule automation: design, test, and implement automated monitoring rules.
• Threshold optimization: tune system thresholds to minimize false positives.
• Data reconciliation: ensure data integrity between core banking systems and AML platforms.
• Cross-functional collaboration: work with Data Science, IT, and Compliance Operations.
• Testing & UAT: conduct User Acceptance Testing for rule engines and AI deployments.
• Documentation & governance: maintain docs for threshold changes and model validation.

Skills

AML compliance knowledge

Data analytics

Technical project management

AI/ML model implementation

Rule automation

Threshold tuning

Data reconciliation

Cross-functional collaboration

UAT management

Documentation - BRDs/FSDs

Job description

Role & responsibilities

• AI/ML Project Delivery: Drive the end-to-end implementation of Artificial Intelligence and Machine Learning models for predictive risk scoring and advanced anomaly detection.
• Rule Automation: Design, test, and implement automated transaction monitoring rules to reduce manual intervention and streamline compliance workflows.
• Threshold Optimization: Conduct regular tuning, statistical analysis, and optimization of system thresholds to minimize false positives while maintaining high detection rates.
• Data Reconciliation: Establish robust data reconciliation frameworks to ensure seamless data integrity and completeness between core banking systems and AML platforms.
• Cross-Functional Collaboration: Partner with Data Science, IT, and Compliance Operations to translate complex analytical models into production-ready AML tools.
• Testing & UAT: Conduct User Acceptance Testing (UAT) for rule engines, reconciliation workflows, and AI/ML model deployments.
• Documentation & Governance: Maintain rigorous documentation for threshold changes, model validation reports, and automated logic to meet audit and regulatory expectations.
• Strong AML compliance knowledge combined with data analytics and technical project management skills.
• Proven experience implementing AI/ML models and automating transaction monitoring rules.
• Experience performing complex data reconciliations between core platforms and AML systems.
• Proficiency in statistical analysis for tuning system thresholds and reducing false positives.
• Exceptional cross-functional communication to bridge data science, IT, and compliance operations.
• Experience drafting detailed technical documentation, including BRDs and FSDs.
• Ability to manage end-to-end UAT cycles for compliance software and automated workflows.
• Strict adherence to global anti-financial crime regulations and audit documentation standards.