At a Glance
- Tasks: Own bordereaux processing and improve data management across the business.
- Company: A growing London Market business focused on data-driven growth.
- Benefits: Ownership of projects, visibility with senior stakeholders, and career development opportunities.
- Other info: Join a team that values innovation and efficiency in data management.
- Why this job: Make a real impact in a dynamic environment while enhancing your analytical skills.
- Qualifications: Experience with delegated authority data and strong analytical skills required.
The predicted salary is between 40000 - 50000 £ per year.
This is a fantastic opportunity to join a growing London Market business where delegated authority data is playing a key role in supporting future growth.
You will take ownership of bordereaux activity across a varied portfolio with the freedom to improve how data is managed and used across the business.
Working closely with senior stakeholders across Underwriting you will have real visibility and the chance to make an impact.
The business is investing in its data capabilities and this role offers the opportunity to improve processes, enhance reporting and help build a function that can scale with continued growth.
Key responsibilities
- Taking ownership of bordereaux processing across risk and premium data.
- Managing the mapping and validation of bordereaux through the bordereaux management platform.
- Reviewing data quality issues and exception reports while identifying recurring trends.
- Monitoring bordereaux submissions and ensuring information is received within agreed timescales.
- Producing accurate MI and reporting for internal and external stakeholders.
- Acting as a key contact for Underwriters and third party providers on bordereaux queries.
- Maintaining accurate delegated authority data and records across internal systems.
- Identifying opportunities to improve processes and reduce manual workloads.
- Supporting projects focused on data quality and operational efficiency.
- Keeping processes aligned with Lloyd's Market requirements and wider regulatory expectations.
Experience you'll need
- Strong experience working with delegated authority data or bordereaux within the Lloyd's Market.
- Experience managing the mapping and validation of bordereaux data.
- Strong analytical skills with excellent attention to detail.
- Confident working with internal and external stakeholders.
- Good knowledge of Excel with Power BI experience beneficial.
This is an excellent opportunity for someone who wants more ownership and the chance to play a key role within a growing business.
If you are working within bordereaux or delegated authority data and looking for your next move get in touch for more details.
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Delegated Data Analyst employer: Arthur
Join a forward-thinking company that prioritises innovation and employee development in the heart of London. As a Remote Security Engineer, you'll benefit from a collaborative work culture that encourages continuous learning and offers opportunities to lead impactful security initiatives. With a focus on cutting-edge technology and a commitment to maintaining a secure digital environment, this role provides a unique chance to grow your career while contributing to the resilience of a leading player in the insurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Delegated Data Analyst
✨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 Arthur!
✨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 Delegated Data Analyst at Arthur.
✨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 Arthur.
✨Apply Directly through Our Website
When you find a suitable opening like Delegated Data Analyst at Arthur, 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 Delegated Data Analyst
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 Arthur, 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 Arthur. 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 Arthur
✨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 Arthur!
✨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.
