Risk Analytics Engineer- Python Staff

Job Description As a Risk Analytics Engineer- Python Staff at EY, you will have the opportunity to contribute to risk-driven AI and data solutions supporting financial risk, regulatory compliance, internal controls, audit analytics, and enterprise risk management. Your responsibilities will include designing and developing Python-based AI/ML solutions, building and maintaining data pipelines using tools like PySpark and Alteryx, collaborating with cross-functional teams, and ensuring adherence to EY standards and quality KPIs. Your unique voice and perspective will help EY become even better and contribute to building a better working world for all. **Key Responsibilities:** - Design and develop Python-based AI/ML solutions for risk assessment, anomaly detection, control testing, and automation. - Build, optimize, and maintain data pipelines and workflows using PySpark, Alteryx, and related technologies. - Collaborate with risk consultants and cross-functional teams to deliver high-quality, risk-aligned solutions. - Support risk-driven AI transformation initiatives to ensure models are explainable, auditable, and compliant. - Estimate technical effort, identify delivery and technology risks, and propose mitigation strategies. - Ensure adherence to EY standards, methodologies, governance, and quality KPIs. - Proactively identify issues related to data quality, model performance, or controls and support resolution. **Qualifications Required:** - Strong proficiency in Python programming. - Awareness of risk, controls, compliance, or audit analytics concepts. - Experience with data processing tools such as PySpark, Alteryx, and ETL pipelines. - Excellent problem-solving and debugging skills. - Ability to understand business and risk requirements and translate them into technical solutions. Join EY and be part of a team that is dedicated to building a better working world through innovative solutions and a culture of inclusivity and support. As a Risk Analytics Engineer- Python Staff at EY, you will have the opportunity to contribute to risk-driven AI and data solutions supporting financial risk, regulatory compliance, internal controls, audit analytics, and enterprise risk management. Your responsibilities will include designing and developing Python-based AI/ML solutions, building and maintaining data pipelines using tools like PySpark and Alteryx, collaborating with cross-functional teams, and ensuring adherence to EY standards and quality KPIs. Your unique voice and perspective will help EY become even better and contribute to building a better working world for all. **Key Responsibilities:** - Design and develop Python-based AI/ML solutions for risk assessment, anomaly detection, control testing, and automation. - Build, optimize, and maintain data pipelines and workflows using PySpark, Alteryx, and related technologies. - Collaborate with risk consultants and cross-functional teams to deliver high-quality, risk-aligned solutions. - Support risk-driven AI transformation initiatives to ensure models are explainable, auditable, and compliant. - Estimate technical effort, identify delivery and technology risks, and propose mitigation strategies. - Ensure adherence to EY standards, methodologies, governance, and quality KPIs. - Proactively identify issues related to data quality, model performance, or controls and support resolution. **Qualifications Required:** - Strong proficiency in Python programming. - Awareness of risk, controls, compliance, or audit analytics concepts. - Experience with data processing tools such as PySpark, Alteryx, and ETL pipelines. - Excellent problem-solving and debugging skills. - Ability to understand business and risk requirements and translate them into technical solutions. Join EY and be part of a team that is dedicated to building a better working world through innovative solutions and a culture of inclusivity and support.