Risk Analytics- Python-AI Dev - Senior

EY; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

EY is seeking a Risk Analytics – Internal Audit Analyst in Bengaluru to design and implement AI‑driven risk analytics solutions. You will develop Python‑based data pipelines, enable anomaly detection and continuous risk monitoring for global engagements, and collaborate with risk consultants and engineers.

The ideal candidate has 4–6 years in Python development, AI/ML, data engineering, and a background in internal audit or risk.

Qualifications

• Bachelor's degree in computer science or related discipline
• 4–6 years of experience in Python/AI/ML and data engineering
• Experience in risk analytics and internal audit concepts
• Experience with microservices architecture and CI/CD pipelines
• Strong knowledge of SQL, data governance, and cloud platforms
• Familiarity with AI governance frameworks and LLMs

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.
• 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.

Skills

Python programming

Risk analytics pipelines

SQL and data governance

Cloud platforms

LLMs / AI governance

CI/CD pipelines

Power BI / Streamlit

Internal Audit domain knowledge

Team mentoring

Data ingestion/transformation

Education

BE/BTech/MCA

Tools

Azure

SQL

Python

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.