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- Tasks: Join a leading insurer to develop and automate finance processes using data management skills.
- Company: Work with a top London Market insurer known for innovation and excellence.
- Benefits: Enjoy flexible working with 3 days in the office and a negotiable salary.
- Why this job: Make an impact in finance while enhancing your tech skills in a collaborative environment.
- Qualifications: 3+ years in insurance, strong SQL, Excel, and automation skills required.
- Other info: Experience with Azure and actuarial tools is a plus; great for career growth!
The predicted salary is between 43200 - 72000 £ per year.
I am looking for an experienced Data Engineer to join my client, a leading London Market insurer based in the City. This role includes developing and automating actuarial and finance processes, ensuring accuracy, efficiency, and compliance with IFRS17, GAAP, and Solvency II Technical Provisions. This role requires strong data management, SQL, and automation skills to enhance actuarial reserving, financial reconciliation, and reporting processes leveraging the Azure Cloud environment.
Experience required:
- 3+ years of experience working with actuarial and finance departments in an insurance company.
- Experience with various regulatory reporting regimes (GAAP, IFRS17, SII) (desirable).
- Experience working with SAP data (desirable).
- Strong MS SQL Server, Excel & Access skills; experience with VBA, R, or Python is a plus.
- Experience with Azure cloud-based systems (desirable).
- Knowledge of ResQ or similar actuarial reserving tools (desirable).
- Strong understanding of data structures, database design, and cloud-based data environments.
- Experience with data reconciliation, automation, and financial reporting processes.
- Excellent problem-solving skills, with attention to detail and accuracy.
- Strong communication and collaboration skills to work across actuarial, finance, and operations teams.
If you think you look a good match for this position, please send your CV for immediate consideration.
Data Engineer (City of London) employer: i3
Contact Detail:
i3 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (City of London)
✨Tip Number 1
Network with professionals in the insurance and data engineering sectors. Attend industry events or webinars to connect with potential colleagues and learn more about the specific challenges they face, which can help you tailor your approach when applying.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in data engineering, especially those relevant to the insurance industry. Being knowledgeable about tools like Azure and regulatory frameworks such as IFRS17 will give you an edge during interviews.
✨Tip Number 3
Prepare to discuss your previous experience in automating financial processes and working with actuarial teams. Be ready to provide specific examples of how you've improved efficiency or accuracy in past roles, as this will demonstrate your value to potential employers.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical questions or case studies that may be presented during the interview process. Practising these scenarios can help you articulate your thought process and solutions effectively.
We think you need these skills to ace Data Engineer (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL, SAP, VBA, Python, and Azure. Emphasise any work you've done with actuarial and finance departments, as well as your familiarity with regulatory reporting regimes like IFRS17 and GAAP.
Craft a Strong Cover Letter: Write a cover letter that specifically addresses the requirements of the Data Engineer role. Mention your experience with data management, automation skills, and how you can contribute to enhancing actuarial reserving and financial reconciliation processes.
Showcase Relevant Projects: If you have worked on specific projects that involved data reconciliation, automation, or financial reporting, include these in your application. Detail your role, the technologies used, and the outcomes achieved to demonstrate your capabilities.
Highlight Soft Skills: In addition to technical skills, emphasise your problem-solving abilities and communication skills. Mention experiences where you collaborated with teams across actuarial, finance, and operations to showcase your teamwork and collaboration skills.
How to prepare for a job interview at i3
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and Azure during the interview. Be prepared to discuss specific projects where you used these technologies, especially in relation to actuarial and finance processes.
✨Understand Regulatory Frameworks
Familiarise yourself with IFRS17, GAAP, and Solvency II regulations. Being able to discuss how these frameworks impact data management and reporting will demonstrate your industry knowledge and relevance to the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of examples where you've tackled complex data issues or improved processes, particularly in a financial context, and be ready to explain your thought process.
✨Emphasise Collaboration Skills
Since the role involves working across various teams, be sure to convey your communication and collaboration skills. Share experiences where you successfully worked with actuarial, finance, or operations teams to achieve common goals.
