Meesho - Assistant Manager/Manager - Credit Risk & Data Science

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 are building out our founding team, currently in our 0-to-1 phase where we will find our Product-Market Fit designing the right products and working with the right partners - and scale 1-to-n soon after driving traffic and constantly improving our product. It 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?

This person will be responsible for driving the analytics behind all these questions, from creating analytical frameworks, developing high quality analysis, driving insights and actions, and recommending policy decisions.

In the early phases, your role will focus more on developing rudimentary analysis to define day-1 policies.

What you will do?

- Analyzing credit policies using Meesho platform data, bureau data & alternate data.

- Creating Scorecards and models (Application Score , B-Score , Collection Scores)

- Designing experiments to test cohort behavior and experimental policies.

- Identifying leading indicators / EWS.

- 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:

- Refine the Credit policies basis data and create new policies to lend in unexplored segments.

ML model development methodology : feature creation, development, tuning, validating, monitoring, calibrating wherever required and creating strategies on top of it.

- Coding up BRE , automating credit policies as well as underwriting decisions if need be.

What you will need?

- 3-5 years of relevant Fin-Tech experience, preferably in Digital Unsecured Lending, with products like business loans ( SME ) , BNPL and PL ( Consumer )

- Drive and conceptualize projects on Risk and Data science.

- Strong RCA skills along with excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly, both verbally and in written form.

- Working knowledge of SQL, Big Data systems like Hive, metabase or any other database for data mining in structured as well as unstructured data analytics.

- Expertise in PD, EAD , LGD modeling in Python environment.

- Ability to thrive in a fast-paced, collaborative environment

- Engineering or Masters in Statistics or Data SciencePrior experience in fast paced Credit Risk policy, Risk Analytics or Decision Science team.

Note: For your candidature to be considered on this job, you need to apply necessarily on the redirected career page of the company as well.