Job Search and Career Advice Platform

Enable job alerts via email!

Actuarial Analytics Platform Engineer – Modelling Tools

Spencer Rose Ltd

Greater London

On-site

GBP 50,000 - 80,000

Full time

3 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A global specialty insurance company is looking for an Analytics Platform Engineer in London. The role involves developing an analytics platform with a focus on back-end calculations and collaboration with actuarial teams. Candidates should have a degree in a quantitative discipline and at least 3 years' experience in data-intensive environments. Familiarity with SQL and programming in languages like Julia, Python, or R is essential. Join a collaborative team and engage with high-impact analytical projects.

Qualifications

  • 3+ years' experience in insurance, reinsurance, or data-intensive environments.
  • Experience in implementing statistical methods in production systems.
  • Familiarity with actuarial or risk concepts.

Responsibilities

  • Develop a proprietary modelling and analytics platform.
  • Design and maintain reliable data pipelines.
  • Work with teams to translate requirements into systems.

Skills

SQL
Data analysis
Collaboration
Mathematical skills
Programming in Julia, Python or R
Version control (Git)

Education

Degree in Software Engineering, Mathematics, Physics, or related

Tools

Microsoft SQL Server
Azure
Job description
A global specialty insurance company is looking for an Analytics Platform Engineer in London. The role involves developing an analytics platform with a focus on back-end calculations and collaboration with actuarial teams. Candidates should have a degree in a quantitative discipline and at least 3 years' experience in data-intensive environments. Familiarity with SQL and programming in languages like Julia, Python, or R is essential. Join a collaborative team and engage with high-impact analytical projects.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.