Job Description
About the Team
Would you like to be part of creating a unicorn within a unicorn? Solve some of the biggest challenges facing financial inclusion of Bharat? Well, then here’s your chance!
Financial Services (FS) is one of the biggest new bets we are taking at Meesho on the next 10x horizon opportunity for us. Just as Ant Financial did for Alibaba, and Mercado Pago did for Mercado Libre, our vision is to build financial services for Meesho, becoming our key growth and revenue driver.
We have found our Product-Market Fit and built and proved 0-1 and 1-10 journeys, Now looking for someone who can be the founding member of 10-100-1000 journey and this is possibly one of the most exciting and enriching experiences one could consider in their career.
As a Financial Services team, we always look at the bottom line. And the bottom line is - in this team, you should expect to have fun as you learn and grow.
About the Role
- Lending is going to be our primary focus in this phase of our FS journey, and risk management is at the core of building any sustainable credit business at scale. Herein also lies potentially our biggest challenge for Meesho users: How do we assess risk of borrowers without any credit history? How can we leverage alternative information to better profile borrowers? How can we leverage our platform uniquely to create a sustained competitive advantage?
- The Person will be responsible for driving the Policy, DS and analytics behind all these questions, from creating analytical frameworks, developing high quality analysis, driving insights and actions, and owning policy decisions.
- In the early phases, your role will focus on
- Refining initially implemented policy by Analyzing and Designing credit policies using Meesho platform data, bureau data, alternate data.
- Creating Scorecards and models for approval.
- Designing experiments to test cohort behavior and experimental policies.
- Automate reporting and tracking of the portfolio on multiple levels , Ops performance measures, key performance indicators and associated drivers.
Responsibilities
- Over the longer horizon, as the program scales you are expected to do the following:
- Owning an automated decisioning process and its outcome.
- Creating 6 Month Risk roadmap
- Refine the Credit policies and create new policies to lend in unexplored segments.
- Own end to end ML model development methodology : Feature creation, Model design and development, tuning, validating, monitoring and calibrating
- Coding up and maintaining BRE , automating credit policies as well as underwriting decisions if need be
- Independently drive and conceptualize projects on Risk and Data science.
- Initially an IC role but expected to guide and manage a team of analysts and grow into leadership role.
Responsibilities
About the Role
- Lending is going to be our primary focus in this phase of our FS journey, and risk management is at the core of building any sustainable credit business at scale. Herein also lies potentially our biggest challenge for Meesho users: How do we assess risk of borrowers without any credit history? How can we leverage alternative information to better profile borrowers? How can we leverage our platform uniquely to create a sustained competitive advantage?
- The Person will be responsible for driving the Policy, DS and analytics behind all these questions, from creating analytical frameworks, developing high quality analysis, driving insights and actions, and owning policy decisions.
- In the early phases, your role will focus on
- Refining initially implemented policy by Analyzing and Designing credit policies using Meesho platform data, bureau data, alternate data.
- Creating Scorecards and models for approval.
- Designing experiments to test cohort behavior and experimental policies.
- Automate reporting and tracking of the portfolio on multiple levels , Ops performance measures, key performance indicators and associated drivers.
Responsibilities
- Over the longer horizon, as the program scales you are expected to do the following:
- Owning an automated decisioning process and its outcome.
- Creating 6 Month Risk roadmap
- Refine the Credit policies and create new policies to lend in unexplored segments.
- Own end to end ML model development methodology : Feature creation, Model design and development, tuning, validating, monitoring and calibrating
- Coding up and maintaining BRE , automating credit policies as well as underwriting decisions if need be
- Independently drive and conceptualize projects on Risk and Data science.
- Initially an IC role but expected to guide and manage a team of analysts and grow into leadership role.
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