Machine Learning Engineer - Credit Risk

About Groww

We are a passionate group of people focused on making financial services accessible to every Indian through a multi-product platform. Each day, we help millions of customers take charge of their financial journey. Customer obsession is in our DNA. Every product, every design, and every algorithm down to the tiniest detail is executed keeping the customers’ needs and convenience in mind. Our people are our greatest strength. Everyone at Groww is driven by ownership, customer-centricity, integrity, and the passion to constantly challenge the status quo.

Are you as passionate about defying conventions and creating something extraordinary as we are? Let’s chat.

Our Vision

Every individual deserves the knowledge, tools, and confidence to make informed financial decisions. At Groww, we are making sure every Indian feels empowered to do so through a cutting-edge multi-product platform offering a variety of financial services.

Our long-term vision is to become the trusted financial partner for millions of Indians.

Key Responsibilities

• Responsible for solving business problems using data science in the credit risk domain.
• Work closely with the credit risk team to formulate risk policies and build scorecards.
• Mentor and guide junior team members in achieving data science outcomes and handling multiple initiatives.
• Discuss and work with the credit business and risk leadership team to align and work on key focus areas.
• Follow industry best practices, and stay up to date with the latest machine learning techniques for implementation in ongoing projects.
• Participate in internal technical councils and represent the organization in forums that involve the community of data scientists across industry and academia.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Skills And Expertise

Experience: 2 to 4 Years

• Mandatory experience in model development in credit risk (acquisition, behavior, and collections scorecard) for retail credit products.
• Know-how of credit risk management and usage of risk policies.
• Knowledge of Bureau data and other alternate data sources, a strong foundation of machine learning and statistics for building credit scorecards.
• Strong Python coding skills.
• Ability to work in a big data ecosystem - knowledge of SQL/Big query.
• Strong ability to understand the business and good stakeholder management capabilities and has mentored data scientists in developing ML solutions.
• Experience playing the role of full-stack data scientist and taking solutions to production.
• Education/Qualification: Any Graduate/PG.