Consultant - Data Analytics

Job Title: Consultant - Data Analytics Company: PayU Job Category: Machine Learning Roles & Responsibilities: The Risk Operations team at PayU is a data\-driven function responsible for supporting the identification, assessment, and mitigation of financial and operational risks across the payments ecosystem. The team uses data, analytics, automation, and technology\-enabled solutions to strengthen risk controls, improve operational efficiency, and support seamless experiences for merchants and customers. Working closely with risk, product, technology, operations, and business teams, the Risk Operations team converts complex data into actionable insights that support informed decision\-making and effective risk management. This is an opportunity to contribute to a fast\-paced fintech environment where analytics plays an important role in managing risk at scale. About the Role: PayU is looking for a Consultant – Data Analytics to join the Risk Operations team in Gurgaon for a 12\-month assignment. The role will focus on analysing risk and operational data, developing dashboards and reports, automating recurring processes, and providing insights that support business and risk decisions. The successful candidate will work with large and complex datasets, translate business requirements into analytical solutions, and collaborate with stakeholders to improve reporting, monitoring, and decision\-making. The role also requires an interest in emerging AI tools and their practical applications in data analytics, reporting, and process automation. Responsibilities: Use Python for data analysis, data preparation, automation, reporting, and development of analytical solutions. Design, build, and maintain interactive dashboards and reporting systems to monitor key risk and operational metrics. Automate recurring reports, data preparation activities, monitoring processes, and other manual workflows to improve efficiency and accuracy. Explore and apply relevant AI tools to support data analysis, insight generation, dashboard development, documentation, and process automation, while ensuring appropriate review of outputs. Maintain documentation for queries, dashboards, reporting logic, processes, and analytical methodologies. Stay informed about developments in risk analytics, data visualisation, automation, and AI applications relevant to the fintech and payments industry. Ability to collaborate effectively with cross\-functional stakeholders and manage multiple priorities. Knowledge of risk management, fraud detection, transaction monitoring, or operational risk concepts would be preferred. Access to 5000\+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity) 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. Work Location: Haryana, India Availability: Full time

Translate business and stakeholder requirements into meaningful reports, dashboards, analytical models, and actionable insights. Collaborate with Risk, Operations, Product, Technology, and Business teams to understand requirements and deliver effective analytical solutions. Requirements: Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative discipline. Relevant experience in data analytics, business intelligence, risk analytics, operations analytics, or a related field. Experience in automating reports, dashboards, data workflows, or recurring operational processes. Experience in fintech, payments, banking, financial services, fraud, or risk operations would be an advantage. Key Skills: Machine Learning, Python Salary: Not disclosed