At a Glance
- Tasks: Manage and verify data from cover holders and claims administrators to ensure accuracy.
- Company: Join a dynamic team in a leading insurance firm focused on data integrity.
- Benefits: Enjoy competitive pay, flexible hours, and opportunities for professional growth.
- Other info: Fast-paced environment with great potential for career advancement.
- Why this job: Be at the forefront of data management and make a real difference in operations.
- Qualifications: Strong Excel skills and attention to detail are essential.
The predicted salary is between 30000 - 40000 £ per year.
Statement of responsibilities:
- Ensuring that all Excel bordereaux, risk, premium and claims are received from the cover holders and claims administrators within contractual service levels.
- Work with cover holders and claims administrators to ensure that all bordereaux are complete and accurate, and to resolve data quality issues that may arise.
- Completely and accurately load all bordereaux received into the binder management system within required timescales.
- Resolve any errors that may occur as bordereaux are loaded into the binder management system.
- Escalate to the Operations Technician, Third Party Administrator Manager or Head of Operations any issues which cannot be resolved directly with the cover holders or third-party administrators.
- Ensure that risk written and premium bordereaux are reconciled.
- Ensure that cash received is reconciled to the premium bordereaux.
Key Duties:
- Pro-active management of cover holders and third-party administrators to ensure that bordereaux are received within agreed service levels.
- Verification of bordereaux contents to ensure that they are complete and accurate.
- Escalate any potential breaches in binder terms.
- Assist in the development and maintenance of documented and measurable processes relating to binder management activities.
Data Management Technician in City of London employer: Edenbrook
As a Data Management Technician, you will thrive in a dynamic and supportive work environment that prioritises accuracy and collaboration. Our company fosters a culture of continuous improvement, offering ample opportunities for professional development and growth, all while being located in a vibrant area that encourages work-life balance. Join us to be part of a team that values your contributions and is committed to excellence in data management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management Technician in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Edenbrook!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Management Technician at Edenbrook.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Edenbrook.
✨Apply Directly through Our Website
When you find a suitable opening like Data Management Technician at Edenbrook, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Management Technician in City of 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Edenbrook, 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 Edenbrook. 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 Edenbrook
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Edenbrook!
✨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.
