Data Scientist

Job Description

Job Description: (Mandate Skills) What We Are Looking For Data Scientist preferably from financial services, large banks/MNCs. Strong background in business analysis (consumer/business strategy, financial products, pricing, etc.) with very strong data analysis (Sql, excel, etc,) experience Strong understanding of how to structure analysis and to solve real world business problems. Ability to identify key drivers of business and create KPIs/modeling solutions for the same, Expertise in end-to-end model development and model lifecycle management (develop, deploy, monitor) is Preferred Exposure/Experience in developing Machine Learning models using various algorithms (logistic/linear, Random Forest. Xgboost ,etc) Hands on experience in R or Python is must Exposure to unstructured data analytics and big data handling is a plus Good business understanding of fintech/personal lending space is preferred Responsibilities You'll work closely with the Product and Risk Team to: Define, design and deliver solutions using data science/analytics in fast paced environment Evaluate and apply machine learning algorithms to build variety of data science models particularly in credit risk/unsecured lending domain but not limited to Complete ownership including but not limited to identifying model development approaches, building ML models, evaluation, cost benefit analysis, exploration of new data sources, implementation and monitoring of developed models. Working closely with the engineering team for deployment of models and infrastructure development. Skills: unstructured data analytics,business analysis,big data,python,machine learning,data science,sql,analytics,model development,excel,models,r Show more Show less