Data Scientist (Vyntra)

We are looking for a highly skilled Data Scientist with strong experience in Anti-Money Laundering (AML) systems and expertise in Python to join our banking analytics team. The ideal candidate will have hands-on experience with Vyntra (formerly NetGuardians) for transaction monitoring and anomaly detection.

• Develop, enhance, and maintain data models and machine learning algorithms for AML detection and financial crime prevention.
• Analyze large datasets from multiple sources to identify suspicious patterns and behavior.
• Work closely with AML compliance, business, and technology teams to fine-tune Vyntra/NetGuardians models.
• Implement and automate data pipelines and model deployment using Python-based frameworks.
• Evaluate and improve model performance through feature engineering, tuning, and retraining.
• Prepare analytical reports and dashboards for stakeholders highlighting insights and risk indicators.

• 6–10 years of experience in Data Science or AML analytics within the Banking/Financial Services domain.
• Strong proficiency in Python, Pandas, NumPy, Scikit-learn, and data visualization tools.
• Mandatory experience with Vyntra (formerly NetGuardians) platform for AML or fraud monitoring.
• Deep understanding of AML processes, KYC, transaction monitoring, and financial crime compliance.
• Experience working with large-scale structured and unstructured data sets.
• Familiarity with SQL, ETL, and data warehouse concepts.
• Excellent communication and stakeholder management skills.

• Exposure to cloud-based analytics platforms (Azure, AWS, or GCP).
• Experience integrating AML systems with other data sources or case management tools.
• Knowledge of model governance, explainability (XAI), and regulatory reporting standards.