Senior Data Scientist Banking Domain - Vtricks Technologies

Key Responsibilities

• Design, develop and deploy scalable machine learning models for fraud detection, credit risk assessment, and transaction intelligence.
• Analyze large enterprise datasets, engineer features, and perform data quality checks to support model accuracy.
• Collaborate with data engineers and product teams to integrate models into production pipelines and monitor performance.
• Communicate insights and model outcomes to stakeholders, translating technical results into business value.
• Stay current with industry trends in financial services and incorporate best practices into model development.

Requirements

• 5–8 years of experience in data science with a focus on banking or financial services.
• Proficiency in Python, SQL, and machine learning libraries (scikit‑learn, XGBoost, LightGBM).
• Hands‑on experience with fraud detection, credit risk modeling, and customer analytics.
• Strong analytical skills, ability to work with large‑scale datasets, and excellent communication.
• Experience with model deployment and monitoring in a production environment is a plus.