Job Description

Responsibilities:

• Build ML models & amp; credit strategy for the life cycle of consumer lending -
• Underwriting/RCM/Collections for our lending products e. g., Personal Loan
• Setup scalable, efficient, automated processes for model development, validation, implementation & amp; Monitoring
• Provide actionable data-driven recommendations to stakeholders' business questions
• Perform ad hoc analysis for business teams, and leadership and help them build business cases and models to quantify new opportunities, using data and business judgment.
• Liaison with the tech team to build fully automated best fintech products. Role
• Build ML models & amp; credit strategy for the life cycle of consumer lending -
• Underwriting/RCM/Collections for our lending products e. g., Personal Loan
• Setup scalable, efficient, automated processes for model development, validation, implementation & amp; monitoring
• Provide actionable data-driven recommendations to stakeholders' business questions
• Perform ad hoc analysis for business teams, and leadership and help them build business cases and models to quantify new opportunities, using data and business judgment.
• Liaison with the tech team to build fully automated best fintech products.

Requirements:

• Understanding of Data Science lifecycle
• Good exposure to Supervised (e. g., logistic, tree-based models) and
• Unsupervised Modelling techniques.
• Strong background in statistical concepts (Descriptive & amp; Inferential Statistics)
• Proficiency in Python with respect to Data Science - sci-kit-learn, jupyter notebook.
• Proficiency in relational databases - MySQL or PostgreSQL
• Excellent critical thinking skills, combined with the ability to present your beliefs clearly, compellingly verbally, and in written form.
• Exceptional problem-solving skills.
• Software engineering practices - git