Risk Analytics Engineer- Python Staff

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 Staff

Experience: 1-3 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 our Risk Consulting practice, you will contribute to risk-driven AI and data solutions that support areas such as financial risk, regulatory compliance, internal controls, audit analytics, and enterprise risk management.

Required Skills:

• 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

Good to Have:

• Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of big data ecosystems (Hadoop, Spark).
• Experience with data visualization tools (Power BI, Tableau).
• Exposure to microservices architecture and CI/CD pipelines.
• Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.

Key Responsibilities

• Design and develop Python-based AI/ML solutions to support 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, ensuring 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

To qualify for the role, you must have:

• Bachelor’s degree in computer science or related discipline or equivalent work experience.
• Master’s degree preferred.
• 1-3 years of relevant experience.

What we look for

• Working collaboratively in a team environment
• Excellent oral and written communication skills
• Strong analytical and problem-solving skills
• High attention to detail, especially in risk, control, and data accuracy contexts
• 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.  

 
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