Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

CAT Research Analyst

The Emerald Group Ltd, Search and Selection
London
1 year ago
Applications closed

Related Jobs

View all jobs

Engineering Manager, Machine Learning Platform

Position summary:

The Research Analyst will work within the CAT Modelling and Actuarial teams to maintain and develop financial reporting and underwriting systems that support U.S. SEC financial reporting requirements and the Company’s optimized risk position in regards to its exposure to natural catastrophes and is charged with the assessment of natural hazards (i.e. earthquakes, hurricanes, floods, etc.).

Key Responsibilities:

  • Develop and document proprietary software packages that integrate third party modelling software with the company’s existing software/databases
  • Software analysis of advanced scientific data to model potential weather linked events
  • Maintain the company’s software and develop methodologies to help the Company in its assessment of its exposure to various losses, including catastrophe risk position by pricing contracts, measuring marginal impact to its portfolio, and ranking them based on profitability
  • Develop and maintain the financial reporting system in order to assist Actuarial and Financial teams

Minimum Qualifications, Skills and Experience:

  • A Master’s Degree and/or in-depth knowledge in applied Mathematics or Statistics would be advantageous
  • A degree in Atmospheric or Earth Science, Environmental Science or related field
  • Proficiency in SQL and MS Access, Visual Basic and database management systems such as SQL Server or other similar software, as well as well as MS Excel
  • Strong analytical, communication and time management skills with the ability to work in a team environment
  • Working knowledge of programming languages such as Python/R would be advantageous
  • Working experience in Data Science would be advantageous
  • Knowledge in some of the programming languages below would be valuable for the role:

SQL, Python/R,C#, and/or JavaScript (React JS)

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.