Opening for data science (4-8 years) in a Fintech Startup in Bangalore.
Responsibilities -
- Lead development of scorecards using ML algorithms (e.g. Random Forest, Gradient Boosting, XGBoost, Deep Learning) related to Credit Risk, Fraud Risk, Chance of Approval, Portfolio Management, etc.
- Guide junior data scientist(s) in the team and jointly build advanced analytics capabilities for the platform
- Closely coordinate with other functions such as Product, Technology and Risk and align on business and technical needs
- Identify optimization / automation opportunities in model development process such as Documentation, Turnaround Time (TAT), etc.
- Focus on improving explain ability of developed scorecards to increase acceptance with clients.
- Should be on hands-on experience in Machine Learning, Deep Learning, NLP is an added advantage.
Experience & Qualification Requisite:
- Bachelors or any other educational qualification (Masters / PhD. is preferred) in disciplines such as Computer Science, Statistics, Economics, Mathematics, Business Administration, etc.
- 4+ years of working experience in data analytics, e.g. Data Processing, Feature Engineering, Model Development / Validation, Scorecard Implementation and / or Strategy formulation
- At least 1-2 years of hands-on experience of model development using tools such as R, Python, SQL, etc.
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, etc.
- Strong analytical and logical skills with emphasis on relating ML insights with business intuition
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