Senior Analyst - Data Science

Designation: Senior Analyst - Data Science

Experience: 3 to 8 Years

Location: Bangalore

Job Description

We are seeking an Senior Analyst – Data Science to develop fraud prediction models using machine learning. The role involves contributing to the development and deployment of machine learning models and data-driven solutions to detect suspicious activity, mitigate financial crime, and ensure compliance. The ideal candidate will combine strong technical expertise with a solid understanding of machine learning and experience in development of end-to-end model development lifecycle.

Responsibilities

• Assist in designing, developing, and deploying machine learning models for fraud prevention.
• Perform data analysis, feature engineering, and statistical modeling on large-scale transactional datasets.
• Collaborate with compliance, risk, and operations teams to translate requirements into actionable data science solutions.
• Build and maintain data pipelines using SQL, Python, and AWS services (SageMaker, Redshift, S3, Lambda).
• Support the integration of ML models into production environments, including Feedzai.
• Monitor and evaluate model performance, prepare reports, and recommend improvements.
• Ensure solutions align with regulatory standards and organizational policies.
• Provide guidance and mentorship to junior analysts where required.

Required Skillsets

• Education: Bachelor's/master's degree in data science, Computer Science, Statistics, Applied Mathematics, or a related field.
• Experience: 3-8 years of experience in Data Science, with knowledge in FinTech, Payments, Banking.
• Strong programming and analytical skills with Python, SQL, and statistical techniques.
• Experience in applying machine learning methods such as classification, clustering, anomaly detection, and NLP.
• Hands-on experience in AWS cloud services (SageMaker, S3).
• Exposure to Feedzai or similar fraud detection platforms preferred.
• Strong communication and collaboration skills, with the ability to work across cross-functional teams.