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Rupeek, a leading fintech platform in India, is looking for a Business Analyst to join their Category team. You will be crucial in developing and implementing business and risk strategies using data analytics.
The ideal candidate has over 2 years of experience in analytics, strong command of SQL and Excel, and familiarity with tools like Python and Tableau. This position requires a proactive individual passionate about leveraging data for strategic decision-making.
Rupeek, established in 2015 and headquartered in Bangalore, stands as India's leading asset-backed digital lending fintech platform.
Committed to making credit accessible to Indians in a fair and convenient manner, Rupeek pioneers innovative financial products focused on monetizing India's $2 trillion gold market.
Leveraging state-of-the-art technology and an automated asset-light supply chain, Rupeek is transforming the gold loan disbursal landscape across 40+ cities in India.
With a customer base exceeding 5,00,000+, the company's strategic partnerships with top banks and financial institutions underscore its commitment to building gold-backed assets through low-risk, low-touch, and friction-free processes.
Rupeek's impressive journey is supported by key investors such as Sequoia Capital, Accel Partners, Bertelsmann, and GGV Capital.
In Apr 2024, Rupeek turned profitable and raised $25M in equity capital from Manipal Group and Elevation Capital to fund its next phase of growth.
Join us in redefining the future of finance through innovation, technology, and a commitment to financial inclusivity.
Job Title: Business Analyst
Experience: 2+ years of work analytics function of Bank/NBFC/Fintech/e-commerce
We are seeking a highly skilled and detail-oriented Business Analyst to join our Category team. The ideal candidate will be part of the team responsible for evaluating, developing, and implementing key business and risk strategy. The candidate will contribute significantly in shaping these strategies through data analytics, data research and modeling. The candidate must have a strong command of SQL, Excel, and statistical tools such as Python, R, and Tableau.