Our Risk Management team enables responsible growth through close collaboration with the business to protect EY from the risks that arise from its professional practice. The team works with the business to identify, monitor and manage EY's risk, providing coordinated advice and assistance on independence, conflicts, compliance, regulatory, policy, security and risk management issues, as well as effectively managing ethics-related claims and queries. Through oversight of key risk processes, Risk Management helps to minimize the threat of litigation, avoid regulatory enforcement and limit damage to our reputation. Our Risk Management team is strategically focused on risk, embedding risk discussions into business planning activities at all levels of the organization.
The opportunity
Risk Management has an RM Analytics work stream that is focused on robust business intelligence solutions to efficiently and effectively tell the data story in today's big data world, facilitating process optimization and decision making. Large amounts of data are available to potentially highlight risks, hidden patterns, correlations and other relevant insights. With today's technology, we have the opportunity to explore the analysis of data and obtain answers and indicators.
Your key responsibilities
The role of a Data Scientist, in the Global Risk Management function, will have the opportunity to collaborate with teams across the globe and with internal stakeholders. It will directly impact multiple KPIs within Risk Management and drive and support key initiatives. This role will analyze data to optimize existing processes and develop new solutions. Ability to find answers is limited only by one's creativity in leveraging a vast array of techniques and tools.
This role will work virtually with teams across geographies with some opportunities to travel for in-person collaboration.
Skills and attributes for success
To qualify for the role, you must have
Ideally, you'll also have
What we look for
A candidate that can be a part of a fast-paced innovative culture and build enterprise insights and influence results using smarter data analytics. Work on impactful projects by converging mind and machine to leverage data and understand and navigate risk. Create deep insights through an understanding of the business, the data, and the technology used to store and analyze that data. Implement agile analytics to develop timely and interactive reporting and analytics that help the business overall. More than any skill, we are looking for a team player that strives for innovation and perfection.