Swiss Re
is hiring
Data Analyst, Audit
About Our Company
The Swiss Re Group is a leading wholesale provider of reinsurance, insurance and other insurance-based forms of risk transfer. Dealing direct and working through brokers, its global client base consists of insurance companies, mid-to-large-sized corporations and public sector clients. From standard products to tailor-made coverage across all lines of business, Swiss Re deploys its capital strength, expertise and innovation power to enable the risk taking upon which enterprise and progress in society depend.
Founded in Zurich, Switzerland, in 1863, Swiss Re serves clients through a network of over 70 offices globally and is rated "AA-" by Standard & Poor's, "Aa3" by Moody's and "A+" by A.M. Best. Registered shares in the Swiss Re Group holding company, Swiss Re Ltd, are listed in accordance with the Main Standard on the SIX Swiss Exchange and trade under the symbol SREN.
We're smarter together.
Job Description & Responsibilities
As an Audit Data Analyst in Group Internal Audit (GIA), you will provide analytics support to our audit teams while using GIA's 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 Re's vision of resilience.
Your key tasks will involve discussing key risks and controls with business auditors, understanding relevant business processes, and helping to formulate data-driven audit approaches. 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 auditors by sharing your knowledge through on-the-job mentoring.
The Digital & Analytics unit 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
We 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. Furthermore, we perform audit activities crafted to assess the adequacy and efficiency of the Group's internal control systems, and to make valuable contributions through improving the Group's operations.
Requirements
Education and experience:
- Minimum 3 years of experience in a role collecting, transforming and analysing data while working in audit, another assurance function or in a professional capacity related to the financial services industry.
- University degree in a numerate field (e.g. Computer Science, Engineering, Statistics, Maths).
- Proficient in SQL and Python. Experience with Palantir Foundry (preferred).
- Good awareness of machine learning concepts to identify potential use cases and data visualization good practice.
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. Good attention to detail.
- Team worker, able to listen to others but also influence in order to see the wider picture and achieve a vision
What we offer
For Armonk the estimated base salary range for this position is $96,000 to $144,000. The specific salary offered for this or any given role will take into account a number of factors including but not limited to job location, scope of role, qualifications, complexity/specialization/scarcity of talent, experience, education, and employer budget. At Swiss Re, we take a "total compensation approach" when making compensation decisions. This means that we consider all components of compensation in their totality (such as base pay, short-and long-term incentives, and benefits offered), in setting individual compensation