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PayU in India is seeking a talented Risk and Fraud Data Analyst to deliver data analytics support and actionable insights. The role involves building dashboards and automated reporting using Python and SQL to support the Risk Operations vertical.
The ideal candidate will navigate complex datasets, develop repeatable analytics, monitor KPIs, and contribute to fraud risk decisions in an international fintech environment.
At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high growth markets the financial services and products they need to thrive. Our expertise in 18+ high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs to offering credit to underserved individuals, to helping merchants buy, sell, and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more at www.payu.in
At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high growth markets the financial services and products they need to thrive. Our expertise in 18+ high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs to offering credit to underserved individuals, to helping merchants buy, sell, and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more at www.payu.in
As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive, and safe environment, for all our people, communities, and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility, and unbiased attention to every PayUneer so they can succeed, irrespective of gender, color, or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities, or the LGBTQ communities.
We are the Fraud Risk Management team, operating as a key function within the Risk Operations Vertical of the broader Risk Organisation. Our vertical serves as the operational backbone of the Risk Org, responsible for translating risk strategies into real-time execution, monitoring, and measurable outcomes. Our team's core mandate is the identification, assessment, and mitigation of fraud risks - with a specialised focus on cross-border transactions, where multi-regional complexity creates a constantly evolving threat landscape. We are a highly skilled and dedicated group of professionals who design and deploy advanced rule-based frameworks and logic systems capable of detecting anomalies, flagging suspicious patterns, and identifying irregular consumer behaviour across virtually any transactional parameter. Our rule-building capabilities allow us to rapidly respond to emerging fraud trends, continuously optimise detection models, and strike the right balance between effective fraud prevention and a seamless customer experience. In doing so, we serve as a critical line of defence within the organisation - contributing frontline intelligence and data-driven insights that shape risk decisions across the entire Risk Org.
We are seeking a talented Risk and Fraud Data Analyst to deliver data analytics support and meaningful insights to our team. The ideal candidate will be comfortable navigating complex datasets and capable of building robust frameworks to automate dashboards, metrics, and reporting using Python and SQL.