At a Glance
- Tasks: Analyse and validate premium and claims data for accuracy and consistency.
- Company: Join a leading Data Partnering Services team with a focus on collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of innovative projects and contribute to exciting data initiatives.
- Why this job: Make a real impact by ensuring data integrity for clients in a dynamic environment.
- Qualifications: Experience in data analysis and strong attention to detail required.
The predicted salary is between 29700 - 36300 £ 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
Data Technician in London employer: G MASS Consulting
G MASS Consulting is an excellent employer that values autonomy and innovation, providing a dynamic work environment where you can significantly impact non-financial returns processes. With a strong focus on employee growth, we offer opportunities for professional development and a hybrid working model that promotes work-life balance. Join us in our London office to be part of a collaborative culture that prioritises excellence and continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Technician in London
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We think you need these skills to ace Data Technician in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at G MASS Consulting, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at G MASS Consulting. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at G MASS Consulting
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
