At a Glance
- Tasks: Support the Actuarial pricing team with data transformation and model development.
- Company: Join a diverse and inclusive company that values your individuality.
- Benefits: Enjoy flexible hybrid work, extensive benefits, and wellbeing support.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make an impact by transforming pricing models and collaborating with talented teams.
- Qualifications: Strong IT skills, knowledge of Excel, and experience with SQL or Python preferred.
The predicted salary is between 40000 - 50000 £ per year.
To provide support to the Actuarial pricing team, including strategic projects, model and MI/analytics development and other key pricing plan deliveries, Pricing Transformation workstream, testing new pricing models, data development and ongoing support to existing models. The role involves close collaboration with BI developers, pricing software (RuleBook) configurators, underwriting teams across the business, and divisional actuaries. The successful applicant will have strong technical data development skills and the ability to translate business requirements into developer requests. The role also requires project management and communication skills, providing effective support across multiple workstreams. No prior actuarial experience is required. The role is located within the Actuarial pricing team in London.
Main duties
- Pricing Technology: Support pricing model transformation from Excel to RuleBook, a cloud‑based pricing platform: oversee developers, clarify model functionality, carry out end‑to‑end user testing, gather feedback from underwriters & pricing actuaries, and embed usage as part of the platform roll‑out. Provide underwriters with ad‑hoc technical support for RuleBook, triage issues and allocate them to the correct teams for resolution. Assist with rule‑book development work – although RuleBook expertise is not required, the focus is technology agnostic and may expand to other pricing technologies.
- Data Pipelines: Assist with production and testing of relevant pricing data extracts and pipelines. Perform data manipulation tasks: generate data dictionaries, produce real‑time data extracts using PowerPivot, and scrape historical data from pricing models for migration into RuleBook and for Insight dashboard exhibits. Take ownership of scraping data from historical pricing models, validate the data, prepare for underwriter sign‑off, and transform it into the appropriate structure for ingestion into the relevant databases.
- Analytics: Build Pricing Insights dashboards in Excel and visualisation tools (e.g., PowerBI) to visualise real‑time pricing data. Ensure data used for data models & Insight dashboards reconciles with relevant sources for accuracy and reliability, managing others' input and testing. Develop and support pricing and data‑management activities, working collaboratively with senior pricing actuaries.
- General: Collaboratively work with underwriters, the pricing team, and underwriting management. Assist other pricing team activities as required.
Qualifications
Technical Skills
- Essential: High level IT skills, including knowledge of Excel. Demonstrated knowledge of a data processing language such as SQL or Python.
- Preferred: Experience developing and considering database structures, data flows, and use of data; ideally including a London Market pricing setting. Experience accessing and reading VBA for Excel. Experience with dashboarding platforms such as PowerBI or Tableau.
Education & Experience
- Essential: 2.1 or 1st degree in a Maths or Computer Science related subject (e.g., Physics, Engineering, Statistics) or equivalent demonstrated experience. 3 or more 'A' levels, including Maths.
Personal Skills
- Ability to translate business requirements into technical instructions.
- Strong stakeholder and project management skills.
- Ability to plan and organise work to meet targets and deadlines.
- Strong interpersonal, verbal and written skills.
- Intellectually curious and results‑oriented with a strong sense of responsibility.
- Attention to detail.
- Self‑motivated, hard‑working and committed.
- Able to collaborate, work as a team managing downwards and upwards and communicate with staff at all levels.
Benefits
A flexible hybrid work model that supports individual and team needs. A diverse, inclusive culture that values people for who they are. Extensive, non‑contributory benefits, including medical, life, and pension cover, flexible holidays, and wellbeing support.
Excel Data Transformation Analyst (Pricing) employer: Chaucer Group
Join our dynamic Actuarial pricing team in London, where we foster a collaborative and inclusive work culture that values innovation and individual contributions. As an Excel Data Transformation Analyst, you'll benefit from a flexible hybrid work model, extensive non-contributory benefits, and ample opportunities for professional growth, all while working on strategic projects that make a real impact in the pricing landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Excel Data Transformation Analyst (Pricing)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in pricing or data analytics. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your technical skills. Bring examples of your work, like dashboards you've built or data transformations you've done. Let them see what you can do!
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to fit their needs. Research their current projects and challenges, and think about how your skills can help them out. This shows you're not just another candidate; you're the right candidate.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Excel Data Transformation Analyst (Pricing)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your technical data development skills and any relevant projects you've worked on, especially those involving Excel or data manipulation.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Excel Data Transformation Analyst role. Share specific examples of how you've translated business requirements into technical solutions and your experience with project management.
Show Off Your Technical Skills:Since this role requires strong IT skills, don’t shy away from showcasing your proficiency in Excel, SQL, or Python. If you’ve worked with dashboarding tools like PowerBI, make sure to mention that too!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Chaucer Group
✨Know Your Tech Inside Out
Make sure you brush up on your Excel skills and get familiar with data processing languages like SQL or Python. Be ready to discuss how you've used these tools in past projects, as this role heavily relies on technical data development.
✨Understand the Pricing Landscape
Even if you don't have actuarial experience, it's crucial to understand the basics of pricing models and how they function. Research the company’s pricing strategies and be prepared to discuss how you can contribute to their transformation projects.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so highlight your experience in collaborative projects. Prepare examples of how you've effectively communicated with stakeholders and managed project timelines to ensure successful outcomes.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Think of scenarios where you've had to troubleshoot issues or improve processes, especially in data manipulation or dashboard creation, and be ready to share those experiences.