Job Summary

Career Family: Risk Management Services

Role Type: Senior Associate - Data Analytics

Senior Associate, Digital RM - Data Analytics, Risk Management Services

Risk Management team at EY plays an important role in managing the internal risks of the firm associated with accepting a new client or an engagement or risks associated with any of our on-going audit / non audit engagement. Formed in the Year 2007, the Risk Management team is growing rapidly as a Center of Excellence for all standardized quality / compliance related activities that can be efficiently undertaken from Global Delivery Services location.

The opportunity

The Digital RM team at GDS is pivotal in delivering advanced analytics, business intelligence (BI), and technological enablement support across the Global RM Risk Management Services (RMS).

- Deploying advanced analytics and BI tools, complete with dynamic visualizations, to monitor risks in real-time, streamline RM processes, and drive automation, while also ensuring robust data governance and the protection of data privacy and security.
- Tech enablement services across a range of RM tools like providing support for the Service Offering Reference Tool (SORT), contributing to global reporting, and offering administrative assistance for the Process for Acceptance of Clients and Engagements (PACE), administrative support for Global Confirmations, Global Engagement Agreement Repository (GEAR), Enterprise Risk Management (ERM) operations, and assist with reporting for Anti-Money Laundering (AML) tools.

This position will be ideal for a mature team player who likes to maintain daily virtual contact with a large number of people around the world. This position is designed for an experienced professional who likes to be challenged and wants to grow in a dynamic, multi-cultural environment working with modern tools.

Your key responsibilities

The role of a Data Analyst, in the Global Risk Management function, will have the opportunity to collaborate with teams across the globe and with internal stakeholders, which may require adjusting shift timings to manage calls and tasks effectively.



It will directly impact multiple KPIs within Risk Management and drive and support key initiatives. This role will analyse 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.

Technical expertise

- Synthesize complex information into simple, high impact messages
- Leverage data analytics tools and techniques to identify solutions that improve efficiency and enable in-depth analysis
- Analyze and clearly present data and other information to identify significant trends or key issues
- Build relevant data insights that drive understanding of results, risk, and influence key business strategies and decisions
- Promote operational excellence by challenging current practices and providing feedback on opportunities to improve within own area of responsibility
- Gather and share data with stakeholders
- Develop analytical deliverables that play an integral role in the strategic planning process and directly support the achievement of RM priorities
- Perform systems analysis and design to define effective data relationships and integrations
- Communicate effectively the purpose of analytical processes and solutions
- Collaborate with cross-functional teams to understand business needs and provide analytical support.
- Ability to work independently and with team members from different backgrounds.

Skills and attributes for success

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.

To qualify for the role, you must have

Essentials:

- Graduate/Postgraduate with at least 3 to 5 years of experience in a global corporate setting.
- One (1) to two (2) years minimum of experience in data analytics, data visualizations, data scripting languages:
- Experience with SQL and Python
- MS Fabric (Data Factory, Power BI with CoPilot, Data Activator, and OneLake) and database integrations

- Expert-level English communication skills (reading and writing) with the ability to summarize complex concepts into clear, concise language appropriate for senior stakeholders without the requirement of a further review by seniors
- Ability to perform well under pressure and take critical feedback positively, with an aim to improve
- Excellent knowledge of MS Office Suite (Word, Excel, Power Point, SharePoint)
- Ability to work with senior executives of a global brand company in a polished, skilled manner with minimum guidance to identify and implement appropriate solutions

Preferred:

- Experience with XML, R and SAS
- Data Security knowledge
- Process mining experience
- Creative visualization skill to interpret data in an innovative way
- Ability to drive home the why behind within each data story
- Passion for digitization and automation
- Curiosity and willingness to try new things
- Ability to work in a fast-paced environment, and never settle for the status quo

Ideally, you ll also have

- Credible experience working in a fast-moving, client-driven workplace

Technologies and Tools

- Refer the Essentials section above

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Associate-RMS Digital RM-Data Analytics (Karnataka)
🏢 EY
📍 Karnataka