Risk Analytics- Python-AI Dev - Senior

EY; Gurugram District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

EY invites applications for a Risk Analytics – Internal Audit Analyst based in India. The role focuses on building Python-based AI/ML and analytics to support risk assessment, anomaly detection, control testing, and continuous monitoring.

You will design scalable data pipelines and collaborate with cross-functional teams to deliver robust risk solutions. Ideal candidates bring 3–6 years in Python/AI/ML, experience with data engineering, and a strong grasp of risk and compliance concepts.

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.

Responsibilities

• Lead design and development of Python-based AI/ML and advanced analytics for risk assessment and anomaly detection.
• Architect and optimize scalable data pipelines and workflows using Python, Alteryx, and distributed systems.
• Identify performance bottlenecks and implement optimizations for reliability and scalability.
• Enable risk analytics platforms that are explainable, auditable and governance-aligned.
• Collaborate with risk consultants, architects, and cross-functional teams to translate requirements.
• Identify technology and data risks and propose mitigation strategies.
• Mentor junior engineers and enforce coding standards and quality controls.
• Support delivery of high-impact risk analytics and automation across global engagements.

Skills

Python programming

Risk analytics pipelines

Risk concepts

Microservices & CI/CD

SQL & data governance

Cloud platforms

AI concepts & LLMs

RAG architectures

Fine-tuning / PEFT

Internal Audit & Risk

Power BI

Streamlit

Education

Bachelor’s degree in computer science or related discipline

Master’s degree preferred

Tools

Power BI

Streamlit

Docker

Kubernetes

Kubeflow

Airflow

MLflow

Hadoop

Spark

Alteryx

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.