At a Glance
- Tasks: Lead the development of innovative tools for tracking and managing catastrophe exposure.
- Company: A leading London Market Insurance firm with a focus on technology.
- Benefits: Negotiable salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a collaborative team and drive integration with AI technologies.
- Why this job: Make a real impact in the insurance industry using cutting-edge technology.
- Qualifications: Strong Python and Databricks skills; experience in Property insurance is a plus.
The predicted salary is between 60000 - 80000 £ per year.
A leading London Market Insurance firm is looking to hire an Exposure Analytics Developer to join their team. You will lead the development of a suite of innovative tools to track, analyse and manage natural and non-natural catastrophe accumulation exposure across the insurance and reinsurance business for the firm. You will also work with other business functions to ensure Exposure Management outputs can be seamlessly integrated and consumed across the business. Furthermore, you will drive the integration of exposure tooling with the existing data lake architecture, ensuring data is stored and maintained in an appropriate format accessible to the latest AI technologies.
KEY REQUIREMENTS:
- Strong Python capabilities
- Strong Databricks experience
- London Market experience is a plus
- AI experience is a bonus
- Experience in Property insurance and/or experience dealing with exposure data is highly desirable.
- Geospatial experience or experience working with geospatial datasets in Python is desirable.
- Experience with Catastrophe modelling software is advantageous but not essential.
Developer - Exposure Analytics employer: United States Digital Space LLC
As a leading London Market Insurance firm, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from competitive salaries, comprehensive training programmes, and ample opportunities for professional growth, all set against the vibrant backdrop of the City of London. Join us to be part of a forward-thinking team where your contributions directly impact our success in managing exposure analytics.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Developer - Exposure Analytics
✨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 United States Digital Space LLC!
✨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 Developer - Exposure Analytics at United States Digital Space LLC.
✨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 United States Digital Space LLC.
✨Apply Directly through Our Website
When you find a suitable opening like Developer - Exposure Analytics at United States Digital Space LLC, 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 Developer - Exposure Analytics
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 United States Digital Space LLC, 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 United States Digital Space LLC. 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 United States Digital Space LLC
✨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 United States Digital Space LLC!
✨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.
