Location:
Haywards Heath, Home Office (Remote) or Manchester
Salary:
£55,000 - £65,000 depending on experience
Department:
Finance
We’re 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. And that’s the same for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too!

EXPERIENCE, KNOWLEDGE & SKILLS:

• Degree in Actuarial Science, Finance, Computer Science, Mathematics, or a related field.
• Extensive experience in data development, financial modelling, or actuarial systems.
• Strong SQL and data modelling skills; experience with relational databases.
• Skilled in working with cloud platforms (e.g., AWS, Azure, or GCP) and data lake environments.
• Experience with actuarial models, principles, and data structures (e.g., Actuarial reserving techniques, cashflow projections under Solvency II and IFRS 17) life tables, claims triangles, policy reserves).
• Proficiency in Microsoft Excel and familiarity with the Workday Financials ecosystem and integration touchpoints.
• Experience working with actuarial datasets or outputs (e.g., policy data, claims data, assumptions).
• Ability to analyse data to drive process improvement and ensure accuracy in models.
• Strong communication skills with the ability to engage stakeholders at all levels.
• Experience facilitating workshops and managing meetings across technical and non-technical audiences.

• Strong Stakeholder Management and Relationship Building Skills - you’ll excel at collaborating with stakeholders across Finance, Actuarial, and Data Engineering to understand requirements and deliver high-impact data solutions.
• Expertise in Data Engineering and Development - you’ll be comfortable designing, building, and optimising scalable ETL/ELT pipelines using cloud-based technologies and SQL, ensuring data is accessible, accurate, and timely.
• Financial and Actuarial Knowledge - you’ll bring a working understanding of finance and actuarial principles, especially those related to Solvency II, IFRS 17, or GAAP, and how they apply to modelling, reporting, and regulatory compliance.
• Python Proficiency for Advanced Analytics - you’ll use Python to develop scripts for automation, data transformation, and analytics - enabling everything from reserves analysis to forecast simulations.