Risk Analytics- Python-AI Dev - Senior

EY; Tirupati; On-site; INR 1,200,000 - 2,400,000; 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 and audit analytics in a global context.

With 4–6 years of experience, you will build scalable data pipelines, collaborate across risk consulting teams, and mentor junior engineers while ensuring compliance and governance in financial services analytics.

Qualifications

• Bachelor’s degree in CS or related discipline; master’s degree preferred.
• 3–6 years of Python development, AI/ML, and data engineering.
• Expert-level Python and analytics for risk, controls, compliance, fraud, and audit analytics.

Responsibilities

• Lead the design and development of Python-based AI/ML and advanced analytics solutions for risk assessment, anomaly detection, control testing, and continuous risk monitoring.
• Architect, build, and optimize scalable data pipelines 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 requirements into technical solutions.
• Mentor junior engineers and enforce coding standards and quality controls.
• Support delivery of high-impact risk analytics and automation across global engagements.

Skills

Python

Risk analytics

SQL

Power BI

Streamlit

LLMs

RAG

CI/CD

Cloud platforms

AI governance

Education

Bachelor’s degree in CS or related field

Master’s degree preferred

BE/BTech/MCA

Tools

Alteryx

Docker

Kubernetes

Airflow

MLflow

Azure

AWS

Job description

Job Description:

At EY, you’ll 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 we’re 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 – 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. At EY, you’ll 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 we’re 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 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.

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.

Requirements: