Risk Analytics- Python-AI Dev - Senior

EY; Deutschland; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

EY is seeking a Risk Analytics – Internal Audit Analyst to contribute to risk analytics platforms and AI-enabled audit solutions. You will design and implement Python-based analytics, build scalable data pipelines, and drive risk monitoring across global engagements.

The role emphasizes governance, data integrity, and collaboration with risk consultants. The candidate should have 3–6 years in Python/AI, strong SQL and BI skills, and familiarity with cloud platforms.

Qualifikationen

• 3–6 years of relevant experience in Python development, AI/ML, and data engineering.
• Bachelor's degree in computer science or related discipline; master's degree preferred.

Aufgaben

• Lead design and development of Python-based AI/ML and advanced analytics to support risk assessment and continuous risk monitoring.
• Architect and optimize scalable data pipelines and workflows using Python and distributed systems.
• Identify bottlenecks and implement optimizations to improve efficiency, reliability, and scalability.
• Ensure risk analytics platforms are explainable and auditable, aligned with governance requirements.
• Collaborate with risk consultants, architects, and cross-functional teams to translate requirements into solutions.
• 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.

Kenntnisse

Python programming

Risk analytics pipelines

Data governance

CI/CD pipelines

Azure cloud

LLMs / Agentic Frameworks

RAG architectures

LoRA / PEFT

SQL

Internal Audit and Risk

Ausbildung

Bachelor's degree in computer science or related discipline

Master's degree preferred

Tools

Power BI

Streamlit

Jobbeschreibung

Job Title

Risk Analytics – Internal Audit Analyst

Experience

4-6 years

About EY

EY is a leading global professional services firm offering assurance, tax, transaction, and advisory services.

About the Role

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.

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.

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.