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▷ 3 Days Left : Risk Analytics Manager
ZETIndia1 day ago
Job descriptionApril 2019, Founded by Manish Shara & Yash Desai August, 2020, Raised Seed Funding led by Waterbridge Ventures July 2021, Raised $5 M led by Sequoia’s Surge, Nexus Venture Partners & renowned Angel investors. March 2022, Raised $13M in Series A round led by General Catalyst & renowned Angel investors. Kunal Shah - Co Founder, CRED Kalyan Krishnamurthy- CEO Flipkart Harshil Mathur - Co Founder, Razorpay Vidit Aatrey - Founder & CEO, Meesho Sujeet Kumar - Co Founder, Udaan Lalit Keshre - CEO, GROWW Gaurav Munjal - Co-founder & CEO, Unacademy Aakrit Vaish - Co-founder & CEO, Haptik Jitendra Gupta - Founder, Jupiter Amrish Rau - CEO PineLabs Gokul Rajaram - Product & Business, Doordash High-end Technology Make in India Accelerated Growth Build for next Billion users Fast pace & Innovation Opportunity to Thrive Design, develop, and validate risk models (scorecards, look-alike models, behavioural risk models) to optimize credit decisioning. Conduct portfolio analytics to monitor delinquency trends, vintage analysis, and risk-return trade-offs. Leverage statistical and machine learning techniques to improve customer underwriting, fraud detection, and collection strategies. Work closely with credit, product, and technology teams to implement and refine data-driven risk policies. Identify early warning signals and recommend changes in credit approval criteria. Perform A / B testing and back-testing of models to ensure robustness and accuracy. Partner with credit bureaus, data providers, and internal teams to source and integrate new data variables. Create dashboards, MIS, and insights for leadership to enable risk-based decision-making. Accustomed to dealing with ambiguity in a fast-paced environment. Proven ability to collaborate successfully across cross functions. 3+ years of experience in risk analytics within an NBFC, fintech. Strong exposure to AI / ML, credit risk modelling, portfolio analytics, and policy formulation. Hands-on experience with look-alike models, scorecards, and data modelling techniques. Proficiency in SQL, Python / R, and statistical modelling techniques. Understanding of credit bureau data (CIBIL, Experian, Equifax, CRIF) and alternate data usage. Strong analytical, problem-solving, and communication skills. Educational background in Statistics, Mathematics, Economics, Engineering, or related fields (Tier-1 / Tier-2 institute preferred).
About ZET :
At ZET, we believe that passion fuels those who shape the world. Our team is on a mission to make a real impact by driving financial inclusion and accessibility across Bharat. With over 500 million online users in underserved regions, we are building an ecosystem that connects consumers to trusted financial solutions that were once out of reach. Empowered by technology and trust, we are making financial services more affordable and within reach for the next billion Indians.
Through our ZET platform (B2C), we focus on empowering individuals, especially those new to credit (NTC) or with low credit scores, to build and improve their CIBIL scores. One of our key offerings is the Magnet FD Credit Card, co-branded with SBM. The Magnet card plays a pivotal role in helping users from Tier 2, 3, and 4 cities boost their credit scores. By providing insights & solutions into their creditworthiness, consumers are empowered to make informed financial decisions, unlocking opportunities for loans, mortgages and greater financial stability.
On our ZET Partner (B2B) platform, we connect communities in Tier 3 and 4 cities to a wide network of financial brands and credit products. By leveraging a trusted network of agents, we bridge the gap between consumers and top banks, making financial services more accessible and tailored to the specific needs of these underserved markets.
Raising $13M in our series A funding in March 2022, we are proud to be backed by General Catalyst, Nexus, Sequoia Surge, Waterbridge and other leading Angel Investors. Starting with only two in 2019, we are now a workforce of high spirited people diligently striving to enable fintech for Bharat.
Problems we are solving
- Lack of Awareness : Many consumers, especially those in Tier 3 / 4 cities, are unaware of how to improve their CIBIL score and the credit solutions available for the same.
- Reaching Bharat : Consumers in Tier 3 & 4 cities often struggle to access essential financial services and opportunities due to limited reach and availability from financial institutions and banks.
- Trust : The trust deficit in rural areas hinders the adoption of modern fintech solutions, creating barriers to financial inclusion.
The rise of ZET
Angel Investors who trust our mission
Why ZET
Risk Analytics Manager
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