Risk Analytics- Python-AI Dev - Senior

EY; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EY is seeking a Risk Analytics – Internal Audit Analyst to design and implement Python-based AI/ML solutions for risk assessment, anomaly detection, and continuous monitoring. You will build scalable data pipelines, optimize performance, and ensure platforms are auditable and compliant with governance standards.

The role requires 4–6 years of experience in Python development and data engineering, with strong knowledge of SQL, Power BI, and cloud platforms.

Qualifications

• 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.
• Expert-level proficiency in Python and SQL with data governance awareness.

Responsibilities

• Lead design and development of Python-based AI/ML and analytics for risk assessment and monitoring.
• Architect and optimize scalable data pipelines using Python and distributed systems.
• Ensure explainable, auditable risk platforms aligned with governance requirements.
• Collaborate with risk consultants and cross-functional teams to translate requirements.

Skills

Python programming

Risk analytics pipelines

SQL

Power BI

Streamlit

AI/ML concepts

Cloud platforms (Azure)

LLMs

RAG architectures

CI/CD pipelines

Microservices

Data governance

Internal Audit domain

Education

Bachelor’s in Computer Science or related

Master’s degree preferred

Tools

Azure

SQL tooling

Alteryx

Power BI

Docker

Kubernetes

Job description

Job Title

Risk Analytics – Internal Audit Analyst

Experience

4-6 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. 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, and audit analytics concepts.
• 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).
• AI: Understanding of Agentic Frameworks, Large Language Models (LLMs) (GPT, Claude, Llama, Gemini, etc.)
• Experience with RAG (Retrieval Augmented Generation) architectures.
• Knowledge of fine‑tuning / parameter‑efficient tuning (LoRA, PEFT)
• Tools & Technologies: Strong SQL, Python, Power BI, Stream Lit
• Domain Expertise: Internal Audit and Risk

Good to Have

• Strong understanding of AI Governance frameworks.
• Knowledge of ML Ops practices and tools (Kubeflow, Airflow, ML Flow).
• Exposure to big data ecosystems (Hadoop, Spark).
• Experience with containerization (Docker, Kubernetes).Strong understanding of data security and compliance in financial services.
• Good working knowledge of Alteryx and Power BI is preferred.

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 Python, Alteryx, and distributed systems.
• Identify performance bottlenecks and implement optimizations to improve efficiency, reliability, and scalability.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.