Risk Analytics Engineer- Python Senior

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 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 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 EYs 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:

• Bachelors degree in Computer Science or related discipline; Masters degree preferred.
• 36 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.