Analyst, Capital & Resilience Solutions (October 2019)
Analyst, Capital & Resilience Solutions
Do you want to solve wide ranging analytical problems in a fascinating growth market with real societal impact? Then this is the role for you!
The RMS Capital & Resilience Solutions team helps clients quantify risk using state of the art catastrophe models, exploring options for risk management, reduction and transfer. Our clients range from governments and corporations, to insurers, to investment portfolio managers.
Through a combination of consulting services and software products, we provide the data and models that that help build resilience to catastrophe, both societal and financial.
This Analyst role requires a minimum 2.1 Batchelor’s or Master’s degree in a quantitative subject (maths, sciences, engineering), relevant work experience and in addition, Maths A-Level at a minimum 'A' grade.
If you don’t believe you have this experience, please feel free to apply to our other opportunities.
Start date: Autumn 2019
Objective of the role:
The RMS Capital & Resilience Solutions team has expanded rapidly over the last few years, responding to the fast increase in demand for catastrophe risk analytics and data beyond the traditional insurance market. We look at this area as a significant opportunity to drive the growth of a unique and fascinating market, and build resilience.
This role supports client engagements that recognise the increasing importance of catastrophe analytics and data to support robust risk management techniques beyond the insurance market.
There is no “typical” project, as our market is evolving fast – but some recent examples include:
- Helping a major U.S. transportation provider structure a parametric catastrophe bond to cover storm surge events, analysing the portfolio of assets at risk, designing and developing the indices used, and supporting the transfer of risk to investors
- Working with a start-up ILS fund build and analyse a new portfolio of quota-share business
- Consulting with a major U.S. bank understand the earthquake-driven default risk prevalent in mortgage backed securities
- Helping a major European city understand its exposure to flood risk, and how to manage this
As a business unit delivering both consulting and product solutions to our clients, we have a wide variety of career paths open to successful candidates; past examples of career paths include:
- Analysts becoming a consultant and project lead, managing complex analytical client engagements;
- Analysts becoming client account and relationship management specialists, with business development and revenue accountability;
- Analysts moving into product management and software development roles.
Key Accountabilities & Deliverables
You bring the potential, we’ll bring the context: we will offer intensive training on the market we operate in, and the catastrophe models we build. Initially, your responsibilities will involve:
- On-the-job training for modelling and analysing insured portfolios, resilience infrastructure, assets at risk, insurance-linked securities and other risk-transfer mechanisms;
- Perform professional risk analysis for client assets and portfolios and insurance linked securities using knowledge of simulation techniques and expertise in data manipulation and visualisation;
- Support client discussions and business development efforts alongside senior team members, working with corporations, governments, insurers and investors
- Analyse existing risk transfer products (e.g. insurance linked securities (ILS), collateralised reinsurance, ILWs, parametric triggers) for clients and prepare summary reports and analytics;
- Support engagements with insurers and other RMS clients to understand their needs and priorities, document findings and formulate high-level solutions and requirements;
- Meet timelines and deliverables such as expert risk analysis and presentations to investors etc., and serve as a point of contact to clients, communicating analysis results both internally and externally.
- Minimum 2.1 Bachelor’s degree in a quantitative subject (maths, sciences, engineering), from a Russell Group University (or equivalent);
- Masters qualification OR relevant work experience (for example: Internship or Degree course Industrial Placement);
- Strong mathematical ability and a minimum ‘A’ grade at A Level in Mathematics or equivalent;
- An interest in the natural and man-made risks facing society and the role of science and technology in understanding and managing those risks
- Fast learner, entrepreneurial and strong communicator
- Keen interest in the capital markets, finance and Insurance sectors
- Fluency in written and spoken English.
- Client focused with at least some form of client facing previous experience highly desirable;
- Strong teamwork and collaboration;
- A second ‘A’ grade at A Level in a scientific subject would be preferable;
- Significant coding experience (any language) an advantage.
RMS Models and software help insurers, financial markets, corporations, and public agencies evaluate and manage catastrophe risks throughout the world. We lead an industry we helped to pioneer — catastrophe risk modelling — and are the innovators of the RMS(one)® platform, which is transforming the world’s understanding and quantification of risk through open, real-time exposure and risk management.
More than 400 insurers, reinsurers, trading companies, and other financial institutions trust RMS models and SaaS solutions to better understand and manage the risks of natural and human-made catastrophes; including: hurricanes, earthquakes, floods, terrorism, and pandemics.
We think about the unthinkable, enabling the management of even the most extreme events. Our scientific and objective measurement of risk facilitates the efficient flow of capital needed to insure, manage, and ultimately mitigate these risks to reduce the consequences of disasters, promoting resilient societies and a sustainable global economy.
At RMS, we believe the result of deeper knowledge is a positive change. Our ultimate goal is to create a more sustainable and resilient world through a better understanding of catastrophic events.