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Meesho

Platform enabling social reselling with commissions

Assistant Manager - Risk & Decision Science

Quantitative RiskConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Have 3–6 years of relevant fintech experience, preferably in digital unsecured lending with products such as buy-now-pay-later, personal loans, or consumer loans.
  • Have strong root-cause analysis skills, critical-thinking skills, and the ability to present recommendations clearly and persuasively in verbal and written communication to leadership.
  • Have working knowledge of Google Cloud Platform, Vertex AI, and Cloud Functions for deployment.
  • Have a solid understanding of credit bureau data, including CIBIL, Equifax, and CRIF, and banking risk frameworks.
  • Be expert in probability of default, exposure at default, and loss given default modeling in a Python environment.
  • Be able to identify applications of artificial intelligence that can improve team productivity and the decisioning process.

Responsibilities

  • Refine initially implemented lending policies by analyzing and designing credit policies using platform, credit bureau, and alternative data.
  • Create scorecards and models for credit approval.
  • Design experiments to test cohort behavior and experimental policies.
  • Automate reporting and portfolio tracking at multiple levels, including operational performance measures, key performance indicators, and associated drivers.
  • Own the automated decisioning process and its outcomes as the program scales.
  • Create a six-month risk roadmap.
  • Refine credit policies and create policies to lend in unexplored segments.
  • Own end-to-end machine-learning model development, including feature creation, model design and development, tuning, validation, monitoring, and calibration.
  • Code and maintain the business rules engine, and automate credit policies and underwriting decisions as needed.
  • Independently drive and conceptualize risk and data science projects.
  • Initially contribute as an individual contributor, with an expectation to guide and manage a team of analysts as the program scales.

About the Company

Meesho

Platform enabling social reselling with commissions

Meesho enables individuals to start online businesses by reselling products on its app. Resellers browse items from suppliers, share product listings on social media (like Facebook and WhatsApp), and earn a commission on each sale. The platform sources products and handles listings, while resellers promote them to their network with zero upfront investment and no need for their own inventory. Meesho earns revenue by taking a cut from transactions facilitated through the platform. Compared with traditional e-commerce, its strength lies in social commerce—lower barriers to entry, reliance on personal networks, and a pay-from-sales model, which differentiates it from sites that require inventory or upfront costs. The company’s goal is to democratize e-commerce by enabling anyone to start a business using social channels and Meesho’s app, driving widespread online entrepreneurship in India.

Company size
10,001+
Company stage
IPO
Headquarters
Bengaluru, India
Founded
2015

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