At a Glance
- Tasks: Lead the design of finance data solutions in a transformative insurance programme.
- Company: Join a dynamic team at the forefront of insurance transformation.
- Benefits: Competitive day rate, flexible working, and a chance to shape industry standards.
- Other info: Opportunity for growth in a critical delivery phase with a collaborative team.
- Why this job: Make a real impact on finance data architecture in a fast-paced environment.
- Qualifications: Experience in insurance data and proficiency in Databricks, Spark, and Python.
We are supporting a large-scale insurance transformation programme entering a critical delivery phase and are looking to engage an experienced Finance Data Design Lead. This role sits at the centre of delivery, bridging architecture and engineering, and will play a key part in shaping and implementing complex finance and actuarial data solutions.
The Role
You will be responsible for translating high-level architecture into detailed, implementable designs across finance, actuarial and regulatory reporting data domains. Key responsibilities include:
- Designing finance data models (including IFRS17, actuarial and sub-ledger structures)
- Defining data pipelines and processing logic within cloud data platforms
- Establishing reconciliation and control frameworks across reporting outputs
- Working closely with architecture, engineering and platform teams to ensure alignment
- Embedding data quality, governance and auditability across solutions
Experience Required
- Strong experience in insurance data environments (essential)
- Proven track record delivering finance or actuarial data solutions
- Experience with IFRS17, regulatory or statutory reporting
- Hands-on exposure to Databricks, Spark and Python-based pipelines
- Ability to operate effectively within large-scale, complex programmes
Engagement Details
- Contract: Outside IR35
- Day Rate: £900 - £1,100 (flexible depending on experience)
- Duration: 6-12 months
- Location: London (3 days per week onsite)
This opportunity would suit someone who is comfortable operating in a fast-paced delivery environment, taking ownership of detailed design and driving outcomes.
Finance Data Design Lead in London employer: Experis
As a leading player in the insurance sector, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our London-based team enjoys the benefits of hybrid working, competitive day rates, and ample opportunities for professional growth within a large-scale transformation programme, making it an ideal environment for those looking to make a significant impact in finance data design.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Design Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and insurance sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with finance data models and cloud data platforms. Use real examples of your work with IFRS17 and actuarial data solutions to impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your hands-on experience with Databricks, Spark, and Python-based pipelines. Practice explaining complex concepts in simple terms to demonstrate your expertise.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly helps us get to know you better and increases your chances of landing that dream role.
We think you need these skills to ace Finance Data Design Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Finance Data Design Lead. Highlight your experience with finance data models, IFRS17, and any relevant projects you've worked on in insurance data environments.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've successfully delivered finance or actuarial data solutions in the past.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with Databricks, Spark, and Python-based pipelines. We want to see how you can bridge architecture and engineering in your designs!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Experis
✨Know Your Data Inside Out
Make sure you’re well-versed in finance data models, especially IFRS17 and actuarial structures. Brush up on your knowledge of how these models work and be ready to discuss your past experiences with them. This will show that you’re not just familiar with the concepts but can also apply them practically.
✨Showcase Your Technical Skills
Be prepared to talk about your hands-on experience with tools like Databricks, Spark, and Python. Have specific examples ready where you’ve used these technologies to solve problems or improve processes. This will demonstrate your technical prowess and ability to deliver results in a complex environment.
✨Understand the Bigger Picture
Familiarise yourself with the overall goals of the insurance transformation programme. Be ready to discuss how your role as a Finance Data Design Lead fits into this picture and how you can contribute to achieving those goals. This shows that you’re not just focused on your tasks but are invested in the success of the project.
✨Prepare for Collaboration Questions
Since this role involves working closely with architecture, engineering, and platform teams, think of examples where you’ve successfully collaborated in the past. Be ready to discuss how you ensure alignment and communication across different teams, as this is crucial for the role.
