On-site opportunity at
MeeshoAM/ Manager - Risk & Decision Science
Meesho's Financial Services team is hiring for a risk and decision science position at Assistant Manager or Manager level, based in Bengaluru. The role is full-time…
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About This Role
Meesho's Financial Services team is hiring for a risk and decision science position at Assistant Manager or Manager level, based in Bengaluru. The role is full-time and on-site. Financial services is presented as a major new growth bet, with lending as the main priority of the current phase. The person helps build the credit business from an early stage, including how to assess borrowers who have no credit history. In…
Job Description
Meesho's Financial Services team is hiring for a risk and decision science position at Assistant Manager or Manager level, based in Bengaluru. The role is full-time and on-site. Financial services is presented as a major new growth bet, with lending as the main priority of the current phase. The person helps build the credit business from an early stage, including how to assess borrowers who have no credit history.
In the early phase, the role refines an initial credit policy. That means analysing and designing policies with platform data, bureau data and alternative data, building scorecards and approval models, testing cohort behaviour and policy variants through experiments, and automating portfolio reporting and key indicators.
Over a longer horizon, the job extends to owning the automated decisioning process and its results, maintaining a six-month risk roadmap, and writing policies for new segments. It includes end-to-end machine learning work, from feature creation through validation, monitoring and calibration, plus coding and maintaining a business rules engine. The role begins as an individual contributor but is expected to grow into leading a group of analysts.
The posting asks for three to six years of fintech experience, ideally in unsecured digital lending such as BNPL, personal loans or consumer credit. It expects expert-level probability of default, exposure and loss-given-default modelling in Python, familiarity with GCP, Vertex AI and cloud functions, and an understanding of credit bureau data and banking risk frameworks.
Responsibilities
- Refine existing credit policies and design policies for lending segments not yet served
- Be accountable for the automated decisioning workflow and what it produces
- Build a six-month risk roadmap and drive risk and data science projects independently
- Develop machine learning models end to end, including validation, monitoring and calibration
- Code and maintain rules in a business rules engine, automating credit policy and underwriting decisions
- Set up tests of how cohorts behave and of alternative policy choices
- Over time, lead a group of analysts
Requirements
- Three to six years of relevant fintech work, ideally in digital unsecured lending
- Strong root-cause analysis and critical thinking
- Ability to present a clear view to leadership, both verbally and in writing
- Familiarity with GCP, Vertex AI and the cloud functions used for deployment
- Good grasp of bureau records from CIBIL, Equifax and CRIF, along with banking risk frameworks
- Expert-level probability of default, exposure and loss-given-default modelling in Python
- Ability to spot where AI can lift team productivity and the decisioning process
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the job based?
The listing shows a full-time, on-site role in Bengaluru.
How much experience is required?
The posting asks for three to six years of relevant fintech experience.
Will the role manage people?
The role starts as an individual contributor. The posting says it is expected to grow into guiding a team of analysts.
Is a salary stated?
The posting does not specify a salary.
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