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. 

 

 

 

 
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. 

 

EY- Technology Risk– Senior

 

As part of our EY- Technology Risk team you’ll contribute technically to IT Risk and Assurance client engagements and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You’ll also identify potential business opportunities for Ernst & Young within existing engagements and escalate these as appropriate. Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team.

 

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 are to

 

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 attributes for success

 

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 modelling 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 modelling.

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.

 

 

What we look for

A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment.

Opportunities to work with EY technology risk practices globally with leading businesses across a range of industries.

 

What working at EY offers

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

Support, coaching and feedback from some of the most engaging colleagues around

Opportunities to develop new skills and progress your career.

The freedom and flexibility to handle your role in a way that’s right for you.

 

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.