Actuarial Software Engineer

Xpertise Recruitment
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Operations Engineer

Data Science Graduate

Technical Pricing Manager / Senior Data Scientist - Home Insurance

Senior Data Scientist - Home Insurance

Pensions Data Science Actuary

Actuarial Data Science: Assistant Professor

Role:Software Engineer

Salary: Circa 70k + Bonus (Up to 20%) + Bens

Location: London – Hybrid


Our client, a global Insurance client, are looking for a Software Engineer to join their growing actuarial function following their recent build of a development on-premise SQL Server. This role will involve both SQL Server and Python development work alongside on-going database administration.


The role:

  • Provide Python and SQL Server infrastructure support to the reserving team, using your developed knowledge of key actuarial principles
  • Create custom reporting scripts and stored procedures from within SQL Server Management Studio, PyCharm or VSCode
  • Enhance the current data ingestion processes using Python
  • Introduce effective environmental controls within the team and appropriate version control within the team scripts using Azure Devops / Github
  • Improve or rebuild/resign of the existing DEV server
  • Automate routine actuarial calculations using Python and/or SQL Server to extend the existing codebase


Experience required:

  • Experience within the reserving team of the actuarial function
  • Python experience within the data science context
  • Demonstrable experience managing small-scale on-prem SQL Server databases
  • Able to use of Python in the context of SQL Server, including pyodbc / sqlalchemy and Excel


Nice to have (not mandatory):

  • PowerBI reporting skills
  • Actuarial business knowledge

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.