- Location
- Bangalore
- Workplace
- Onsite
- Type
- Full-time
- Department
- Risk & Governance
- Source
- Lever
Description
The increasing volume, complexity, and regulatory scrutiny of financial‑crime and compliance risks requires advanced, data‑driven capabilities that traditional analytics and manual processes can no longer support. The Compliance Data Scientist will significantly enhance Nium’s ability to detect emerging risks, optimise controls, meet regulatory expectations, and drive operational efficiency across the compliance function.
This role fills a critical capability gap and directly supports strategic priorities including automation, risk‑based decisioning, model optimisation, data‑quality improvement, and regulatory assurance. Additionally, this role is specifically designed to support activities related to transitioning compliance systems to advanced, data-driven Artificial Intelligence / Machine Learning solutions e.g. Transaction Monitoring detection models.
Role Summary:
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Responsible for development of AI/ML models to identify risks (such as fraud or credit risk) while ensuring these models are auditable, explainable, and compliant with data privacy laws
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Understand the coverage and accuracy of the existing rules for anti-money laundering and financial crimes
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Support rules management process to ensure rules are performing to expected thresholds
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Support the integrity, accuracy, and usability of data across compliance and financial crime functions.
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Develops data dashboards to provide visibility of performance of rules and models
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Leverage advanced analytics to understand cause and effect relationships
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Understand data quality and labelling, perform advanced analysis to identify high predictive strength variables, and work with technology teams on availability of variables.
