At a Glance
- Tasks: Analyse data, automate reporting, and enhance data quality for insurance solutions.
- Company: Join AIG, a global leader in the insurance market with a collaborative culture.
- Benefits: Comprehensive benefits package focusing on health, wellbeing, and professional development.
- Other info: Dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make a real impact in the insurance industry while advancing your career.
- Qualifications: Experience in insurance, strong coding skills in R/Python, and SQL expertise.
The predicted salary is between 55000 - 65000 £ per year.
Join us as a Senior Data & Reporting Analyst in our Exposure Management team to take your career to the next level with a global market leader.
Talbot operates within the Lloyd’s Insurance Market through Syndicates 1183, 2019, S2478 and 2479. With an expert team of highly skilled and experienced underwriters and a balanced, geographically diverse portfolio of business, Talbot has earned a reputation as an industry leading insurance specialist. Talbot writes a diversified portfolio including Crisis Management, Energy, Financial Lines, Marine, Political Risk, Property and Terrorism. Drawing on our deep industry expertise, Talbot develops tailored insurance solutions that address clients’ evolving and often unique needs.
How you will create an impact:
- Review regulatory reporting, assess opportunities for automation and implement improvements to make sure that they can be produced quickly and consistently.
- Review and develop the suite of reports available to underwriting teams to support aggregate management activities and monitoring of risk appetites.
- Improve data capture across all classes through standardisation of data entry and data checking processes.
- Ensure that an appropriate level of focus is maintained on improving data quality across different classes, and develop and enhance data capture for classes that do not have specific mechanisms in place.
- Support the timely delivery of regulatory returns and take responsibility for compiling data for both internal and external reporting.
- Provide information from the aggregate monitoring process to assist with reinsurance planning and ensure close collaboration with the underwriting and outwards reinsurance teams to improve data completeness.
- Support the development of Talbot’s views of catastrophe risk and feed into development/validation activities (including linkage into AIG group work streams).
- Assist in developing and reviewing the representation of non-nat-cat classes in the Internal Model.
- Help to develop oversight frameworks and own procedural documentation for the Exposure Management team.
- Stay up-to-date with industry developments and investigate ways in which we can enhance our data capture.
What you’ll need to succeed:
- Experience in a similar role within the insurance industry.
- Strong coding skills in R and/or Python.
- Strong SQL skills.
- Experience of enhancing and automating processes.
- Strong understanding of insurance concepts.
- Understanding of cat modelling and exposure management advantageous.
Benefits:
At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. Our Total Rewards Program offers a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security, as well as your professional development.
AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to.
Senior Data & Reporting Analyst in London employer: Dormont Manufacturing Co
At Talbot, a leader in the Lloyd’s Insurance Market, we pride ourselves on fostering a collaborative and inclusive work environment that prioritises employee growth and development. As a Senior Data & Reporting Analyst, you will benefit from our comprehensive Total Rewards Program, which supports your health, wellbeing, and professional advancement, all while working alongside a team of industry experts in a dynamic and innovative setting. Join us to make a meaningful impact in the insurance sector and advance your career with a company that values diversity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Reporting Analyst in 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 Dormont Manufacturing Co!
✨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 Senior Data & Reporting Analyst at Dormont Manufacturing Co.
✨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 Dormont Manufacturing Co.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data & Reporting Analyst at Dormont Manufacturing Co, 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 Senior Data & Reporting Analyst 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!
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 Dormont Manufacturing Co, 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 Dormont Manufacturing Co. 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 Dormont Manufacturing Co
✨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 Dormont Manufacturing Co!
✨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.
