Responsibilities:

·      Analyze large amounts of data to derive business insights and create innovative solutions Understanding business nuances and associated fraud patterns.

·      Develop advanced ML models for fraud identification.

·      Innovate with a focus on better and newer approaches.

·      Explore alternate data sources which can add value on top of traditional data sources.

·      The role requires exhibiting a high level of expertise in data strategy and model training pipelines.

·      S/He will drive insights in generating data driven actionable strategies.

·      Supporting the business and risk teams with bespoke and strategic analysis

Functional and Technical Skills:

·      Proficiency and experience in econometric, statistical and machine learning techniques.

·      Proficiency in Python, SQL, Pandas, Numpy, Sklearn, TensorFlow/PyTorch etc

·      Strong understanding of statistical concepts and modelling techniques for regression,

·      classification and anomaly detection.

·      Good understanding of evaluation metrics

·      Logical thought process, ability to scope out an open-ended problem into data driven solution.

Educational Qualifications:

Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)

Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)