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Meesho

Platform enabling social reselling with commissions

Assistant Manager – Risk Analytics - User Lending

Risk ManagementConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaIn-person

About the Job

Requirements

  • 3.5 to 8 years of relevant experience.
  • Hands-on experience managing or analyzing portfolios in BNPL, Personal Loans, or other unsecured digital lending businesses.
  • Strong understanding of credit risk metrics and portfolio performance, including DPD buckets, roll rates, vintage curves, GNPA/NPA, collection efficiency, approval rates, losses, and portfolio yield.
  • Strong root-cause analysis, analytical, and critical-thinking skills, with the ability to translate complex data into clear business insights.
  • Strong understanding of PD, EAD, and LGD modelling and their application in Expected Credit Loss (ECL).
  • Strong working knowledge of SQL and experience with data-mining tools or systems such as Hive, Metabase, or equivalent databases.
  • Hands-on experience with Python, including data wrangling, basic scorecard development, and implementing or coding risk rules in a Business Rules Engine (BRE).
  • Ability to work effectively with Business, Product, Data Science, and other cross-functional teams.
  • Strong written and verbal communication skills, with the ability to articulate and influence risk decisions using data and structured thinking.
  • Experience working in a fast-paced, high-ownership environment with ambiguity.
  • MBA, Engineering, or Master's degree in Statistics, Data Science, or a related quantitative field.
  • Demonstrated ability to use AI tools effectively in day-to-day work and problem-solving.
  • Relevant experience in Credit Risk, Risk Analytics, Credit Risk Policy, or Decision Science, preferably within digital lending.

Responsibilities

  • Own risk for one or more portfolio segments while maintaining healthy growth.
  • Analyze credit policies using Meesho platform data, bureau data, SMS data, and other alternative data.
  • Create policies, scorecards, and models, including Application Score, B-Score, and Collection Scores, for BNPL and Personal Loans.
  • Design experiments to test cohort behaviour, experimental policies, and new growth opportunities.
  • Identify unexpected pockets of risk within the portfolio and identify leading indicators and early-warning signals.
  • Automate reporting and tracking of portfolio performance at multiple levels, including operations performance measures, key performance indicators, and their drivers.
  • Refine credit policies based on data and create policies for unexplored segments, including building day-one policies for Personal Loans as the product scales.
  • Configure and test rules in the real-time Business Rules Engine (BRE), and work with the Bureau Feature Store to define new underwriting features.
  • Own and drive risk analytics initiatives across digital lending portfolios, including BNPL, Personal Loans, and other unsecured lending products.
  • Identify portfolio trends, diagnose emerging risks, and conduct deep-dive root-cause analyses to understand key drivers of credit performance.
  • Partner with Business, Product, Data Science, and other cross-functional teams to conceptualize and execute risk strategies and projects.
  • Evaluate existing and proposed credit policies and translate portfolio insights into actionable risk interventions.
  • Monitor key portfolio metrics, including DPD buckets, roll rates, vintage curves, GNPA/NPA, collection efficiency, approval rates, losses, and portfolio yield.
  • Use data to assess the impact of risk policies and strategies on portfolio growth, credit quality, and profitability.
  • Perform data mining and analysis using SQL, Hive, Metabase, Python, and other relevant data tools.
  • Build and implement basic scorecards, analytical frameworks, and risk rules in Business Rules Engines (BRE).
  • Apply knowledge of PD, EAD, and LGD models to understand and evaluate Expected Credit Loss (ECL) and portfolio-level credit risk.
  • Present insights, recommendations, and risk perspectives clearly to senior stakeholders, verbally and in writing.
  • Independently drive projects and solve ambiguous business and risk problems using first-principles thinking.
  • Leverage AI tools in day-to-day analytics, problem-solving, and productivity workflows.

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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