Senior Credit Risk Analyst

About the Company

Snapmint is a leading fintech company redefining access to consumer credit in India. With over 10

million customers across 2,200+ cities, Snapmint’s zero-cost EMI platform enables responsible

purchases without the need for a credit card, across categories including fashion, electronics, and

lifestyle. India has over 300 million credit-eligible consumers, yet fewer than 35 million actively use credit cards. Snapmint bridges this gap by offering a trusted, transparent, and inclusive alternative, rooted in ethical lending practices and financial empowerment.

Founded in 2017, Snapmint is a profitable, high-growth company, doubling year-on-year. Our

founding team, alumni of IIT Bombay and ISB, brings deep expertise from organizations such as Oyo, Ola, and Maruti Suzuki, and has successfully built and exited ventures across ad-tech, patent

analytics, and bank-tech.

At Snapmint, we are building the future of responsible consumer finance,simple, transparent, and

customer-first.

https://snapmint.com/

About the Role

The Credit Risk Analytics owns the analytical foundation of the credit portfolio, translating ra

wtransaction and customer data into actionable insights that drive approval optimization, ris

kcalibration, and customer profitability. This role sits at the intersection of risk management, product strategy, and data engineering, directly influencing credit decisioning, policy setting, and portfolio performance for a high-volume digital lending platform processing 1M+ daily transactions. Unlike traditional credit risk analysts who focus on model building, this role emphasizes portfolio observability, cohort-based performance tracking, and real-time decisioning optimization across new and repeat user segments. You will own metrics that product, risk, and business teams dependon for decision-making—and you'll have the autonomy to challenge policy assumptions with data.

Core Competencies & Success Metrics

Domain Expertise

• Fintech: Familiarity with instant approval decisioning, high-velocity transaction flows,chargeback/fraud dynamics, and customer acquisition models.
• 1-3 years in credit risk analytics, lending analytics, or consumer fintech metrics (e.g., fraud,chargeback, risk).
• Credit & Risk Knowledge: Understanding of bureau scoringTechnical Skills
• SQL Advanced: Write complex nested queries, window functions, and multi-sta

geaggregations. Optimize for performance on billion-row datasets.

• Python for Analytics: Pandas, NumPy, SciPy for ad-hoc cohort analysis, statistical tests (Chisquare, t-test, survival analysis), and simple predictive models (logistic regression).

Location: Mumbai (5 days WFO)

Working Days: Monday to Friday