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True Balance, part of BalanceHero Group, is seeking a data‑driven Credit Risk Analyst to formulate risk policies and manage portfolio health for its small-ticket personal loan business in India. You will design underwriting rules, build early warning systems, and take proactive measures to balance prudent risk controls with scalable growth.
Ideal candidates have 3–5 years in fintech credit risk, strong SQL/Python skills, and experience with Tableau.
Owned and operated by BalanceHero Group, True Balance is an RBI authorized Prepaid Payment Instrument (PPI) issuing entity. It offers loans through its subsidiary and RBI licensed Non-Banking Financial Company - True Credits Private Limited and other RBI licensed partners. Founded in 2016, as a mobile app for users in India to efficiently manage their phone calls and data usage, True Balance is now India’s one of the top financial services platforms providing solutions to all the financial needs of its users - from obtaining instant loans, paying utility bills to do prepaid recharges seamlessly. To date, True Balance has raised more than US$84 million in equity funding from marquee global investors like Softbank, Naver, and Line to name a few. The company aims to become the go-to financial services platform for the next billion people in India, playing a key role in the nationwide push towards the goal of Digital India and advancing financial inclusion amongst the unbanked and underbanked people.
We are seeking a data-driven, strategic Credit Risk Analyst for risk policy formulation and portfolio health management for our small-ticket personal loan business. In this role, you will be responsible for end-to-end credit risk strategies—balancing prudent risk controls with scalable, sustainable growth. You will design underwriting policies, build early-warning monitoring systems, and take proactive measures to keep delinquencies in check while identifying growth opportunities.
3-5 yrs experience in similar domain - credit risk in unsecured lending, preferably in fintech/digital lenders
Proficiency in SQL and Python for large‑dataset analysis.
Hands‑on experience with BI tools (like Tableau).
In‑depth understanding of credit bureau data.
Basic knowledge in data science preferred, although not mandatory
Bachelor’s or Master’s degree in Statistics, Economics, Engineering, Finance, or a related quantitative field.