Risk Consulting - Digital Risk - DevSecOps - Senior - Multiple Locations
EYAbout the role
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
The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract.
Your key responsibilities
You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work.
What You'll Do
- Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk.
- Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools
- Design and implement comprehensive data analytics strategies to support business decision-making.
- Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data.
- Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI)
- Developing custom scripts and algorithms to automate data processing and analysis to generate insights
- Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges
- Analyzing data to uncover trends and generate insights that can inform business decisions
- Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management.
- Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement
- Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed
- Work with emerging products to understand risk profile and ensure an appropriate control environment is established
- Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal proc
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