Senior Analytics Specialist

About The Role

As a Senior Analytics Specialist in Group Internal Audit (GIA), you will provide analytics support to our audit teams while using GIAs agile delivery framework. The role provides an opportunity to combine analytics expertise and agile working practices to provide assurance and business insights that support Swiss Res vision of resilience.

Your key tasks will involve leading and developing data-driven audit approaches by discussing key risks and controls with business auditors and understanding relevant business processes. You will then identify and acquire the required data, do the agreed analysis and discuss results with both the audit team and auditees. Furthermore, you will also help to develop the data skills of junior analysts and auditors by sharing your knowledge through on-the-job coaching.

The Audit Analytics Center of Expertise provides GIA with audit analytics capabilities as well as staff passionate about delivering end-to-end solutions and advanced analytics that help improve the effectiveness and efficiency of internal auditing at Swiss Re.

About The Team

Group Internal Audit provide independent and objective assurance that assists the Board of Directors and Group Executive Committee to protect the assets, reputation and sustainability of the organization. We perform audit activities designed to assess the adequacy and effectiveness of the Groups internal control systems, and to add value through improving the Groups operations.

About You

Education and experience:

• University degree in Computer Science, Engineering or a similar field.
• Minimum of 7 years of work experience in a relevant area.
• Proficient in SQL and Python.
• Experience translating business requirements into an analytics use case.
• Demonstrated ability to manage the end-to-end analytics delivery.
• Experience with agile working practices (e.g. scrum).
• Experience working with internal audit or other assurance providers such as risk management and compliance (preferred).
• Demonstrated ability to apply machine learning algorithms that solve a specific use case (preferred).
• Experience working with GenAI/large language models (LLMs) and demonstrated ability utilising them in the audit lifecycle (risk assessment, scoping, testing, reporting).
  
  

Personal Skills

• Critical thinker that sees the "big picture" (e.g. overall themes, trends, goals), generates innovative ideas and solutions to problems and makes recommendations in the face of complexity, conflicting pressures and ambiguous circumstances.
• Professional communicator, able to gain and maintain a trusted relationship while delivering difficult messages
• Structured analyst, capable to adopt and use data-driven auditing, including data analytics, to assess risks, scope audits and test controls. Strong attention to detail.
• Team worker, able to listen to others but also influence in order to see the wider picture and achieve a vision
  
  

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

Keywords

Reference Code: 133941

---