Fraud Risk Analyst

Job Description PAYU PAYMENTS PRIVATE LIMITED Role: Fraud Risk Analyst Company: PayU Location: Bangalore/Mumbai/Gurgaon About Company About PayU A Prosus group company PayU is the payments and fintech business of Prosus, a global consumer internet group and one of the biggest investors in the fintech space globally, with investments totaling $700 million- to date. In India, PayU serves more than 350,000 merchants with 70+ local payment methods and is the preferred payments partner for nearly 60% of the e-commerce merchants, including all leading e-commerce companies and a majority of airline businesses. PayU specializes in credit products and services for emerging markets across the globe. Headquartered in Mumbai, PayU Credit India has disbursed about 20 billion loans to date by volume and has disbursed more than $280 million in consumer credit. PayU Credit provides consumers with easy access to affordable short-term loans up to INR 5 lacs that can be availed in the form of personal loans, point of sale EMI and express loans. Lead by Prashanth Ranganathan, the company has been focusing on providing innovative solutions that make access to credit convenient as well as quick. PayU India entered the alternate lending business in 2017 with LazyPay, its buy-now-pay-later offering to provide consumers with convenient checkout options. It emerged as one of the most popular payment methods across 300+ renowned merchants in its network like Swiggy, Zomato, Samsung, Dunzo, GoAir, amongst others. The company launched LazyPay Credit Shield an end to end digital lending features that help its users to be mindful of their financial health and credit score and automates the entire process of disbursal. Riding on the success of the offering in 2018, PayU received RBI's approval to operate as an NBFC in 2018. PayU acquired a stake in PaySense in January 2020 to accelerate its vision for credit in India and leverage AI & ML to build a full-stack digital lending platform in India. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience. Roles And Responsibilities - Leverage Python, SQL, advanced data analytics to extract, manipulate, and analyze large datasets to identify fraud patterns and build effective rule-based and AI-driven detection systems across multiple product lines of PayU - Create and maintain Early Warning Signals (EWS) to proactively identify emerging fraud patterns and trends - Work closely with product, engineering, data science, and business teams to embed fraud prevention measures into product design and operational processes. - Conduct deep-dive investigations into fraud cases to understand attack vectors and enhance countermeasures using internal and external data - Perform detailed analysis and interpret information to make recommendations to Senior Management on critical strategies including non-standard and ad-hoc requests as determined by management - Develop automated reporting dashboards and data visualizations to monitor and analyze fraud metrics, KPIs, and loss trends to assess portfolio health and communicate insights to stakeholders - Prepare and present reports on fraud trends, risk exposure to Senior Management and risk governance committees - Stay updated with industry fraud trends and ensure the fraud controls follow local financial regulations, including mandates from the Reserve Bank of India (RBI) - Assist with drafting fraud risk management policies, internal audits, and regulatory reviews Qualifications And Experience - Undergraduate degree in Economics, Engineering, or Mathematics - 2-4 years of experience in fraud risk management, business analysis, or related analytical roles in financial services - Strong analytical and problem-solving skills as demonstrated by previous experience in developing creative solutions to business strategy, technological, and operational problems - Strong proficiency in analytic programming skills (R, Python, SQL, Excel), willingness to work closely with large data sets and get into the details with business processes - Excellent communication skills with ability to present technical findings to non-technical stakeholders