FS - RC - FSRM - QTB - MRM - AI - SENIOR

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. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Senior Consultant - Model Validator - Generative AI About Global Delivery Services Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda. Our journey started in 2002 with approximately 200 people. Today we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom. Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service. Enablement Services provides cost-effective, high-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services. Our innovation specialists serve the GDS Client Service and Enablement Services teams, along with Service Lines, Core Business Services and Sectors. The team brings the desired environment, technologies and skilled teams together for facilitation, rapid prototyping and innovative thinking. The competencies offered include analytics, digital, user experience, mobile technology, infrastructure, Microsoft technologies and open innovation. The Opportunity 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 client's 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 new 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 Willingness to travel based on client needs. What we offer you At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Our Commitment : As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost. Professional Development : From entry-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship. People and Culture : In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing. Benefits : Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting-edge learning opportunities that empower you to continually grow and excel in your professional and personal development. How to Apply : If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user-friendly form with personal and professional information and by providing your consent to data privacy. 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.