Risk Analytics Engineer- Python Staff

At EY youll 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 were 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 youll 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 were 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:

• Bachelors degree in computer science or related discipline or equivalent work experience.
• Masters 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.

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.