Job Title: Sr. Data Scientist
Experience: 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:
- 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