RC-Non FS Internal Audit-Analytics-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. 

 

 

 

 

EY- Consulting - RISK Internal Audit Analytics – Senior

The opportunity

We’re looking for data analyst with expertise in Data Analytics for our rapidly growing Internal Audit practice within EY GDS Consulting across multiple levels and locations. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering.

There are exciting opportunities to build an enriching career! Come join us if you are:

• Interested in helping major global clients transform while recommending solutions to some of the most pressing business challenges and process inefficiencies
• Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand

 

Your key responsibilities

 

Preferred Qualifications

• Graduate/Postgraduate in Engineering/ Statistics/ Mathematics or any other quantitative field
• A candidate with 4+ years of experience in machine learning and big data, data visualization and statistical tools at the enterprise level
• 6+ months of extensive project experience on developing products and use cases leveraging Large Language Models (LLM)
• Extensive exposure to frameworks on Python (Langchain, HuggingFace, others)
• Strong programming skills in Python and/or R and frameworks such as Tensorflow, Keras, MXNet and Torch etc.
• Strong solution designing and agile development thinking
• Strong experience in supervised and unsupervised clustering, regression and classification, including Bayesian methods, parameter estimation, support vector machines, neural networks, decision trees, reinforcement learning and deep learning models
• Strong experience in machine learning techniques such as Ensemble Model, Sequence Models, Text Analysis, Time Series Analysis, Survival Analysis, Computer Vision and Signal Processing etc.
• Preferred experience in database technology, build distributed, high-transaction database architecture (SQL and NoSQL), MongoDB, Linux etc.
• Solution experience on end-to-end life cycle from identifying business case till deploying ML/ AI and Cognitive Intelligence solutions.
• Understanding on ERM or standard business process knowledge around procure to pay, order to cash, inventory, journal entries etc. will be a plus
• Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non-data-science background stakeholders
• Comfortable dealing with ambiguity and competing objectives
• Ability to provide oversight support to the design, development and quality teams and define areas of improvement to optimize data flows
• Ability to quickly, regularly, and independently learn new technologies under the pressure of consistent high-profile project deliverables and industry focused solutions
• Ability to work well in in-person and remote team situations, self-motivated and strong team player. Highly developed personal and professional ethics

 

Client Management

• Understand the client’s business & related industry issues / trends.
• Develop strong working relationships with the client and onshore client teams
• Maintain excellent rapport and proactive communication with the client

 

Market Leadership

• Participate / support business development initiatives.
• Support multiple innovation initiatives to enhance existing solutions leveraging emerging technologies like AI/ML, Advanced Analytic