At a Glance
- Tasks: Analyse and validate premium and claims data for accuracy and consistency.
- Company: Join a leading Data Partnering Services team in the insurance sector.
- Benefits: Earn up to £42,000 with support for further study and professional qualifications.
- Other info: Collaborative environment with opportunities for career growth and involvement in exciting projects.
- Why this job: Make a real impact in the insurance industry while developing your analytical skills.
- Qualifications: Experience in Lloyd's of London and strong Excel skills preferred.
The predicted salary is between 30000 - 42000 £ per year.
We are seeking an experienced Data Technician to join the Data Team within our Data Partnering Services function. This role is responsible for the detailed review and analysis of transactional premium and claims data within client Policy Administration Systems (PAS). You will undertake full data forensics - reconciling, tracing and validating premium and claims movements across market systems to ensure accuracy, timeliness and consistency of bureau data for in-scope clients.
Key Responsibilities
- Policy Administration oversight on behalf of in-scope clients, including:
- Reconciliation of Signed Premium vs Written Premium
- Review of USM paid claims vs SCM paid claims
- SCM outstanding claims tracing
- Tracing bureau messages through market systems (IMR, ECF)
- Premium and claims bordereaux review against PAS (where applicable)
- Treaty statement reconciliation to PAS (where applicable)
- Resolution of signing queries
- Outwards RI USM allocation
- Month-end close activities
- Additional responsibilities
- Review of bordereaux management systems
- AMIS signed data review
- Liaison with Claims teams regarding flash claims reporting and follow-up transactions
- Liaison with internal stakeholders on AMIS/PAS queries relating to USM and SCM data
- Participation in Data Working Groups
- Involvement in BP2 project initiatives
- Contribution to RFP processes relating to new client systems
Requirements
- Strong understanding of Lloyd's of London and London Market processing requirements
- Deep knowledge of London Market systems
- Solid understanding of the Lloyd’s/London Market insurance and reinsurance environment
- Desirable: Understanding of Lloyd’s reporting requirements
- Intermediate Excel skills
Benefits
Paying up to £42,000 per annum. Support available for further study, including ACII qualification.
Data Technician in London employer: G MASS
G MASS is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to make a significant impact on foundational data programmes. The hybrid work model ensures flexibility while being part of a forward-thinking team dedicated to excellence in data governance and strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Data Technician in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data in the London Market. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience with Excel or any relevant data systems, make sure to highlight that in conversations. Maybe even prepare a mini case study to demonstrate your data forensics prowess.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications through our website. A quick email or call can show your enthusiasm and keep you on their radar.
✨Tip Number 4
Get involved in relevant projects or groups! Participating in Data Working Groups or similar initiatives can help you gain visibility and connect with potential employers in the field.
We think you need these skills to ace Data Technician in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Technician role. Highlight your experience with data analysis, reconciliation, and any relevant systems you've worked with. We want to see how your skills match what we're looking for!
Showcase Your Skills:In your cover letter, don’t just list your qualifications—show us how you’ve used them in real situations. Talk about specific projects or tasks where you’ve demonstrated your understanding of the London Market and data processing.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it’s relevant to the role. We appreciate straightforward communication!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter team!
How to prepare for a job interview at G MASS
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data forensics, especially in relation to premium and claims movements. Familiarise yourself with the specific systems mentioned in the job description, like PAS, IMR, and ECF. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Prepare for Technical Questions
Expect questions that dive deep into your understanding of Lloyd's of London and the London Market processing requirements. We recommend preparing examples from your past experience where you've successfully reconciled or traced data. This will demonstrate your practical skills and problem-solving abilities.
✨Show Your Excel Skills
Since intermediate Excel skills are a requirement, be prepared to discuss how you've used Excel in previous roles. Think about specific functions or tools you've utilised, such as pivot tables or VLOOKUPs, and be ready to explain how they helped you manage data effectively.
✨Engage with Stakeholders
Highlight your experience liaising with different teams, especially in relation to claims reporting and data queries. We suggest preparing anecdotes that showcase your communication skills and ability to work collaboratively, as this is crucial for the role.
