Risk Analytics- AI Specialist - Senior Manager

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EY- GDS Consulting – Risk Transformation – Senior Manager

As part of our Risk Transformation team, you will help clients transform their risk functions by aligning risk strategies with business objectives, leveraging technology, and enabling scalable governance frameworks.

You will play a key role in driving business development, shaping client solutions and delivering large-scale risk transformation engagements across industries. The role requires strong consulting, stakeholder management and solutioning experience across risk domains and emerging risk technologies.

The opportunity

We’re looking for Associate Directors / Senior Managers with strong experience in Risk Transformation, business development and large account management to join our growing Risk Consulting practice. This is a high-impact role offering the opportunity to:

• Drive growth through proposals and strategic pursuits
• Work on large-scale risk transformation programs for global clients
• Build innovative risk solutions integrating business and technology
• Gain exposure to cutting-edge risk and digital transformation solutions
• Collaborate with cross-functional and global teams

Your key responsibilities

Client engagement and delivery

• Lead and deliver risk transformation engagements across domains such as Internal Audit, Internal Controls (SOX / IFC), Third Party Risk Management (TPRM) and Enterprise Risk Management (ERM)
• Work closely with client stakeholders and EY regional teams to understand business challenges and define transformation roadmaps
• Drive management of large and complex engagements with focus on quality, timelines and business outcomes
• Build trusted relationships with client leadership teams
• Help manage the financial aspects of engagements by organizing staffing, tracking fees and communicating issues to engagement leaders

Business development and growth

• Lead and support proposals, RFPs, POVs and strategic pursuits
• Identify and drive opportunities within large/global accounts
• Support account mining, client relationship management and cross-selling initiatives
• Collaborate with global teams and leadership on go-to-market initiatives

Risk transformation and innovation

• Support design and development of risk transformation solutions integrating:
  • AI, analytics and automation
  • GRC platforms and digital risk solutions
  • Process optimization and operating model transformation
• Contribute to thought leadership, accelerators, methodologies and reusable assets
• Stay current with emerging trends in risk, technology and digital transformation

Team leadership and capability building

• Lead, mentor and develop high-performing teams
• Support hiring, onboarding, coaching and performance management
• Foster collaboration, innovation, and a strong quality culture
• Contribute to capability development across the Risk Consulting practice

Practice development and internal initiatives

• Support strategic growth initiatives for the Risk Transformation practice
• Contribute to development of frameworks, solutions and delivery methodologies
• Drive operational excellence and continuous improvement initiatives
• Collaborate across service lines to support integrated client solutions

Skills and attributes for success

Primary:

• Ai Engineering deep skills – Generative AI programming, Prompt engineering, Context refinement or similar
• Deep experience and comfort with Design and adoption of RNN, CNN, RAG models, LLM, SLM
• Experience with Context management, chunking, Embeddings, Vector Databases
• Experience in Agentic AI, Agent orchestration and workflows, Agentic integrations
• Experience with AI Architectures, Design patterns and efficient engineering techniques for AI systems
• Experience in AI pipeline creation, data preprocessing, feature engineering, inference pipelines
• Experience in Agentic AI and Modern AI guardrails (AI governance principles / Responsible AI)
• Skills:
  • Python programming with specific AI packages (Keras / Tensor Flow etc.)
  • Large scale Data handling (Pyspark or similar, ideal)
  • Agentic AI packages (Langchain, Langgraph or alike OR Autogen or alike)
  • Cloud and Devops : Working knowledge of deploying applications in cloud infrastructure (Azure or AWS or GCP) and implement CI/CD pipelines, with version control (Git)
  • Python driven Machine Learning model implementation (ML Ops) and AI model ops
  • Databases like SQL (PostgreSQL) and/or NoSQL (MongoDB)
• Forward-deployed engineering mindset

Secondary:

• Any one or more of Risk Domains (Enterprise Risk, Operational Risk, Internal Controls, Internal Audit, Third Party Risk etc. – any segment in Risk domain)
• Strong understanding of risk technology and digital ecosystem
• Ability to translate business challenges into scalable risk solutions
• Strong stakeholder management, communication and problem-solving skills
• Strong commercial acumen and growth mindset
• Demonstrate experience in:
  • Leading engagements
  • Managing clients and teams, including delivery oversight
  • Supporting or leading client pursuits

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