met-jobs@lists.reading.ac.uk
May 2013
Message 43

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[Met-jobs] Modelling vacancy in RMS Model Development - text version

From "Roger Brugge" <r.brugge@reading.ac.uk>
To "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Date Wed, 15 May 2013 12:55:01 +0000

Scientific Programmer (Senior Modeler), Model Development, London
Department:

RMS Model Development (MDev) boasts a team of around eighty scientists based 
across London (UK) and Newark (California) building mathematical models that 
predict the distribution of possible damage due to the effects of natural (e.g. 
earthquakes, tropical and extra-tropical storms, thunderstorms, storm-surges 
and fluvial floods), as well as man-made (e.g. terrorist attacks) catastrophic 
events.

Within our RMS MDev group, the Cross Peril Methodology (CPM) team is 
responsible for developing scientifically robust methods across all our models, 
and for ensuring that the software developed to enable these methods is of the 
highest quality. We are looking to hire a Scientific Programmer into our London 
team at the level of Senior Modeler.

Objective of the role:
Understanding the mathematical modeling ideas developed at RMS and being able 
to express them clearly and efficiently within the software framework which RMS 
Software Development team (SDev) is building for RMS(one).
As our team grows, there will be scope for personal advancement, including 
future leadership opportunities in both modeling and software development.
Key Responsibilities:
•       Collaborating closely with our core model developers across all our 
hazard, exposure, and vulnerability teams, in a dynamic and business driven 
environment;
•       Developing new code and modifying against specific modeling 
requirements;
•       Explaining as well as promoting the latest and most innovative software 
development techniques to the mathematical modeling team.
•       Some international travel (mainly to our RMS Head-Quarters in Silicon 
Valley, CA).
Qualifications and Skills:
Essentials:
•       PhD or MSc in Mathematics, Science, Engineering, or Computer Science 
gained at a leading Russell Group University or equivalent; 
•       Excellent programming skills, including C#, C++, and .NET is essential; 
•       Proven & Successful experience in developing scientific applications 
with such tools; 
•       Excellent communication and prioritization skills.


Desirables:
•       Analytical mindset and strong programming skills in a Linux/Unix 
environment (Fortran, R, bash, csh, python, awk and sed). Experience working on 
large data sets in such an environment;
•       Experience working with relational databases such as SQL Server, MySQL, 
as well as using NoSQL databases such as MongoDB, Cassandra, HBase;
•       Understanding of Software Development Life Cycle processes, as well as 
Agile development methodology;
•       Application development experience in a Cloud environment preferred.
RMS:
Did you know there’s a 5% chance that a hurricane will cause $60 billion of 
insured losses next year? And there’s a 1% chance that an earthquake will cause 
$50 billion of insured loss in the next 12 months? We do. At RMS, we build the 
simulation models that allow insurers and investors to understand portfolio 
risks due to catastrophes: natural catastrophes (hurricane, earthquake, flood), 
terrorism, pandemic, and changes in life expectancy.

We are one of the most exciting and technologically sophisticated firms you’ve 
"never" heard of, unless you’re one of our hundreds of clients in the 
(re)insurance, banking or hedge fund sector. We lead an industry we helped 
pioneer and ultimately our work makes a true impact on the world at large. How 
we understand and manage risk affects everybody and our passion is nothing less 
than creating a more resilient world through a better understanding of 
catastrophic events.

As we approach our 25th anniversary, we are now evolving our vision by 
delivering future solutions in the cloud, releasing in 2014 a cutting edge risk 
management platform "RMS(one)" for the global risk market. RMS(one) will create 
a holistic and integrated view across the enterprise with one platform for all 
models, all points of view, all data. All will be run as equal partners on 
RMS(one).

To find out more, visit www.rms.com Or follow us on Facebook or @rmsjobs on 
Twitter
RMS is proud to be an equal opportunity employer.



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