**About PayU** PayU, a leading payment and Fintech company in 50+ high-growth markets throughout Asia, Central and Eastern Europe, Latin America, the Middle East and Africa, part of Prosus group, one of the largest technology investors in the world is redefining the way people buy and sell online for our 300.000+ merchants and millions of consumers. As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day. Thinking of becoming a PayUneer and you are curious to know more about us? Read more about the life in PayU here About the Rol: We are seeking a skilled and detail-oriented Fraud Analyst to join our team. As a Fraud Analyst, you will be responsible for analyzing transactional data from all PayU LATAM merchants to detect patterns of fraud. You will also be involved in configuring anti-fraud rules, employing analytical methodologies to identify fraudulent attacks, and presenting fraud strategy and key performance indicators (KPIs) to merchants. Additionally, you will play a crucial role in proactively communicating with relevant stakeholders, ensuring the implementation of actions to minimize potential monetary losses resulting from fraud incidents to our merchants and PayU. What you'll do - Analyze transactional data from PayU LATAM merchants to identify patterns and indicators of fraud. - Configure anti-fraud rules and systems to enhance fraud detection capabilities. - Utilize analytical methodologies and techniques to detect and investigate fraudulent activities. - Present fraud strategy and key performance indicators (KPIs) to merchants, providing insights and recommendations. - Actively communicate with stakeholders to collaboratively develop and execute strategies to mitigate fraud risks. - Collaborate with internal teams to develop and enhance fraud prevention tools and processes. - Stay updated on the latest industry trends and best practices in fraud prevention and detection. - Prepare detailed reports and documentation on fraud analysis findings and recommendations. What you will need to succeed - Bachelor’s degree on Engineering, Economics, Statistics or Management related disciplines (Master preferred) - Education in Data Analytics is a plus. +1 years of experience in fraud analysis - Strong analytical skills with the ability to interpret complex data sets and identify trends and patterns. - Proven experience in fraud analysis, preferably in an e-commerce or financial services environment. - Proficiency in using analytical tools and software for data analysis (e.g., SQL, Excel, statistical software, Power BI). - Knowledge in Python or/and R for data analysis (preferred) **About us**: **Our Commitment To Building A Diverse And Inclusive Workforce** 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 of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and 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.