Job Summary

Profile: Senior Consultant - Model Validator - Generative AI

This role offers the opportunity to work within EY s Financial Services Risk Management (FSRM) group, supporting leading global financial institutions in identifying, measuring, and managing risk including trading-book market risk counterparty credit risk, banking-book credit risk, operational risk, and regulatory requirements. As part of the Quantitative Trading Book (QTB) team within FSRM, you will contribute to strategic and functional transformation across risk, treasury, and front-to-back-office functions. You will apply quantitative skills to enhance risk and valuation processes, support regulatory compliance, and develop analytics that drive better decision-making for clients with capital-markets activities.

This is an opportunity for quant professionals looking to work on models, regulatory initiatives, and high-impact capital-markets engagements across global banks, broker-dealers, asset managers, and insurance institutions.

EY is seeking a highly skilled Generative AI Specialist with expertise in developing / validating AI models. The successful candidate will be instrumental in driving innovation and enhancing our AI capabilities across various domains.

Your key responsibilities

- Demonstrate deep technical capabilities and industry knowledge of financial products

- Lead components of large-scale client engagements and/or smaller client engagements while consistently delivering quality client services

- Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the clients business

- Manage risk, and effectively communicate with key stakeholders regarding status,



issues and key priorities to achieve expected outcomes.

- Responsible for decision-making, optimizing processes, resource management, and overseeing team management as needed for task execution.

- Accountable for allocating personnel, supervising team members, assigning tasks, ensuring that the team has the necessary tools and support to succeed in their roles and optimizing and evaluating their performance to meet organizational goals.

Skills and attributes for success

- MRM (SR 11-7 experience) / Model Audit / Model governance along with Gen AI / Traditional AI

- Deep understanding of various neural network architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and generative adversarial networks (GANs), along with their applications in supervised, unsupervised, and reinforcement learning.

- Proficiency in the development / validation of state-of-the-art generative AI models, including RAG structures, as well as experience with natural language processing (NLP) and large language models (LLMs), with skills in data preprocessing, model training, hyperparameter tuning, and evaluation metrics specific to generative tasks for creative content generation and data synthesis.

- Utilize leading AI platforms like OpenAI, Azure GPT, Google Gemini, LLaMA, or Mistral, with proficiency in at least one platform.





- Conduct comprehensive testing and evaluation of AI models on tasks such as text summarization, content generation, and other NLP applications.

- Experience in performance testing of AI models, including evaluation for hallucinations, toxicity, bias, robustness, adversarial attacks, and cybersecurity vulnerabilities.

- Knowledge of responsible AI practices, ensuring fairness, transparency, and accountability in AI model development and deployment.

- Demonstrate ability to learn and apply current concepts, specifically in the area of financial risk management.

- Excellent communication and problem-solving skills, with the ability to explain complex AI concepts to non-technical stakeholders.

Ideally, You Will Also Have

- Proficiency in Python and ML frameworks such as TensorFlow, PySpark and PyTorch. Knowledge in AutoML tools which are used for automating the machine learning pipeline and Auto Kubernetes for managing containerized applications.

- Experience with cloud-based platforms for building, training, and deploying machine learning models, such as AWS SageMaker, Azure ML, or Google Cloud AI.

- Experience is writing validation reports as per MRM practices.

What We Look For

- Undergraduate (4-year degree) or master s or Ph.D. in Mathematics, Engineering, Computational Finance, Artificial Intelligence, or a related field with hands-on experience.

- Relevant certifications in AI/RAI from GARP/ Quantitative courses such as CQF.

- Ability to work in a fast-paced environment and support engagements with global financial institutions

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 FS - RC - FSRM - QTB - MRM - AI - SENIOR Professional (Bengaluru)
🏢 EY
📍 Bengaluru