CAT Research Analyst

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

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.

Jobs

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.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.