At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Title: Risk Analytics Engineer- Python Senior Experience: 3-6 years About the Company: EY is a leading global professional services firm offering a broad range of services in assurance, tax, transaction, and advisory services. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of EY’s Risk Consulting practice, you will contribute to Risk Analytics and risk-driven AI solutions that support areas such as financial risk, regulatory compliance, internal controls, audit analytics, fraud detection, and enterprise risk management . Our mission is to design, build, and integrate scalable, secure, and auditable analytics platforms that enable clients to proactively identify, assess, and manage risk. Required Skills: Expert-level proficiency in Python programming and software design principles. Experience designing risk analytics pipelines , including data ingestion, transformation, validation, and monitoring. Awareness of risk, controls, compliance, fraud, or audit analytics concepts Strong experience in data engineering using PySpark, Alteryx, and distributed systems. Hands-on experience with microservices architecture and CI/CD pipelines. Proficiency in SQL, database performance tuning, and data governance. Familiarity with cloud platforms (Azure preferred, AWS/GCP optional). Good to Have: Advanced experience with AI/ML techniques, including. Knowledge of MLOps practices and tools (Kubeflow, Airflow). Exposure to big data ecosystems (Hadoop, Spark). Experience with containerization (Docker, Kubernetes). Strong understanding of data security and compliance in financial services. Key Responsibilities Lead the design and development of Python-based AI/ML and advanced analytics solutions to support risk assessment, anomaly detection, control testing, and continuous risk monitoring Architect, build, and optimize scalable data pipelines and workflows using PySpark, Alteryx, and distributed systems Enable risk analytics platforms that are explainable, auditable, and aligned with regulatory and governance requirements Collaborate with risk consultants, architects, and cross-functional teams to translate risk and business requirements into technical solutions Identify technology and data risks , propose mitigation strategies, and ensure solution robustness Mentor junior engineers and enforce best practices, coding standards, and quality controls Support delivery of high-impact risk analytics and automation initiatives across global engagements To qualify for the role, you must have: Bachelor’s degree in Computer Science or related discipline; Master’s degree preferred. 3–6 years of relevant experience in Python development, AI/ML, and data engineering. What we look for Working collaboratively in a team environment Excellent oral and written communication skills High attention to detail, particularly in risk, data accuracy, and control-oriented contexts. Strong analytical and problem-solving skills BE, BTech, MCA degree required. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.