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Posted in

IT & Systems

Job Code

1309777

Job Title: Data Scientist

Experience: 2 years - 6 years

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:

- Engg, MBA, Masters of Economics, Master of Statistics from Top Tier colleges

Good to have:

- 3-4 years of experience in Fintech, Banking Domain

- Worked on Anomaly Detection, Unbalanced datasets previous

- Good understanding of Machine learning systems and Machine learning pipelines

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Posted By

1863

JOB VIEWS

372

APPLICATIONS

97

RECRUITER ACTIONS

See how you stand against competition

Pro

View Insights

Posted in

IT & Systems

Job Code

1309777

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