Senior Research Analyst London, England
MS Amlin
Full Time
London, England
40532 - 92429 GBP ANNUAL Today
Job description
Role: Catastrophe Research Analyst
We’re looking for a catastrophe research analyst (or senior analyst) on a 18 month fixed term contract to work on our Model Review Programme. Through your scientific knowledge of natural catastrophes you will help us validate catastrophe models, produce regulatory documentation, and develop model adjustments where appropriate.
About The Job
What you’ll spend your time doing:
Lead on MS Amlin’s dependent validation of catastrophe models, including designing testing plans, undertaking scientific tests, producing required regulatory documentation, and communicating the results to both internal and external stakeholders.- Assist the Research Manager on the development of MS Amlin’s View of Catastrophe Risk, including the development of model adjustments where required.
- Undertake innovative research projects to assist with MS Amlin’s understanding and management of catastrophe risk (e.g. climate change, counterfactual analysis).
- Produce catastrophe risk governance documentation and research briefings.
- Provide catastrophe risk and natural hazard expertise to internal stakeholders as required (e.g. underwriters, exposure management, catastrophe modellers).
- Represent MS Amlin at external events (e.g. conferences) and committees (e.g. lighthill risk network), through participation in round tables, forums, and presentations.
- Follow the latest industry trends and new developments in natural hazards research.
You’re going to enjoy this job if you also…
- Enjoy independent research and problem solving
- Have an interest in coding (e.g. R, Python)
- Can explain complex scientific ideas in simple terms
What you’ll need:
For this particular role there are some important qualifications and experience we need you to have. These include:
- Demonstratable research experience (Masters, PhD or equivalent work experience) in a relevant field (e.g. meteorology, hydrology, seismology, vulnerability or similar).
- Proficiency in oral and written communication, particularly the ability to communicate complex scientific ideas to a non-technical audience.
- Strong analytical and quantitative skills, including experience of working with large data sets and using programming packages such as R, Python and ArcGIS.
- Ability to think critically in order to form scientific and business judgements.
- Ability to manage projects and meet deadlines.
- Prior experience of using and/or validating catastrophe models (e.g. RMS, AIR) is desirable.
- Prior experience of building natural hazard models in the insurance industry or academia is desirable.
What you can expect from us:
A competitive salary and benefits package is a given, but you can also expect:
- A great team and supportive colleagues
- An open mind (especially to new ideas and ways of doing things)
- A strong focus on diversity, inclusion and equal opportunities
- A programme of wellbeing and mental health support
- Employer-supported volunteering (ESV)
- Flexible working
- Continuous learning
- Study support
- Structured career development
About Ms Amlin
MS Amlin is part of a global top-10 insurance group, MS&AD. We’re made up of four distinct businesses covering global reinsurance, Lloyds franchise, local specialty insurer, and business services.
This role sits within our Reinsurance Franchise at Lloyd’s (MS AUL) which specialises in Mergers & Acquisitions and Property & Casualty across London, the Middle East, the Far East and continental Europe.
Conduct Rules
With the implementation of the SM&CR (Senior Managers & Certification Regime), the Financial Services and Markets Act gave the FCA new powers to write conduct rules and apply them to all employees within a firm. The Conduct Rules set basic standards of good personal conduct. They stipulate that you must:
- Act with integrity
- Act with due care, skill and diligence
- Be open and co-operative with the FCA, PRA and other regulators
- Pay due regard to the interests of customers and treat them fairly
- Observe proper standards of market conduct
