Sr. Data Scientist

Job Title

Experience

Functional Description:

The position is in the Fraud & Operational Analytics Team. This team is mainly responsible for creating Machine Learning/ AI solutions for effective fraud prevention and driving operational scalability to improve customer experience, reduce operational cost, risk mitigation, etc. The role will focus on building cutting edge ML solutions.

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 modeling 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:

• Engineering, MBA, Masters of Economics, Master of Statistics from Top Tier colleges

Good to have:

• 5-6 years of experience in Fintech, Banking Domain

• Worked on Anomaly Detection, Unbalanced datasets previous

• Good understanding of Machine learning systems and Machine learning pipeline