Tech Risk-Senior

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. 

The opportunity

You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies.

Your key responsibilities

As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform.

Skills and Summary of Accountabilities:

• Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines.
• Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development
• Lead the design and development of bespoke machine learning algorithms to achieve business objectives.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques.
• Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems.
• Ensure adherence to ethical AI guidelines and data governance policies.
• Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform.
• Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services.
• Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry.
• Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results.
• Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered.
• Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives.
• Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions.

To qualify for the role you must have

• 4+ years of working experience in Large Scale AI/ML models and data science.
• Deep understanding of statistics, AI/ML algorithms, and predictive modeling.
• Proficiency in AI/ML programming languages like Python, R, SQL.
• Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras.
• Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms).
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc
• Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point.
• Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc.

Ideally, you'll also have

• Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines.
• Relevant certifications are considered a plus
• Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team.

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.