[ES_JOBS_NET] Verisk Maplecroft: Quantitative Environmental Analyst

Hewston, Richard Richard.Hewston at maplecroft.com
Tue Jun 27 03:09:05 MDT 2017

Verisk Maplecroft is recruiting a Quantitative Environmental Analyst to work with our talented Analytics and Environment Teams. The candidate with apply their quantitative research skills to drive data-led analysis to help clients and colleagues understand the risks associated with environmental issues, including natural hazards and climate change.

Job description
Role purpose:
Verisk Maplecroft's data-driven solutions offer global scope, granular detail and singular insight into the primary environmental, political risk, human rights, and economic issues impacting organisational resilience, sustainable sourcing and the investment landscape.
The Quantitative Analyst - Environment sits within our Analytics function, helping clients and colleagues through the production of data-led, environmental insight. The successful candidate can expect to work on:

*         developing and producing our range of environmental indices - a dataset incorporating 45 global indices encompassing key environmental, climate change and natural hazard topics

*         answering challenging problems for clients in bespoke engagements - typically combining our proprietary datasets with client inputs - through the smart application of quantitative techniques

*         producing regular thought-leadership/ analysis that helps users to interpret our data and gain insight into how the world around them is developing
Main responsibilities:

*         Development and application of methodologies for a range of environmental indices

*         Administration of the relevant databases to maintain data quality and integrity

*         Management of projects, including the update cycle for the index portfolio and client-facing projects

*         Supporting clients in their use of our data through calls and meetings

*         Innovating with colleagues in the Analytics and Environment teams to develop our analytic offering; in particular, through supporting the development of our range of predictive models

*         Working with colleagues across the Research division of the company to deliver thought-leadership and data-led insights

*         Marketing our data offering to target audiences through the production of press campaigns/ presentations

*         Delivering subject and theoretical knowledge to clients via consulting activity
Knowledge, skills and experience:

*         Robust quantitative skills. The successful applicant will likely have a Master's degree in a quantitatively oriented discipline and be able to display proficiency with statistical techniques. A high degree of competence in Excel is required, and experience of statistical packages (e.g. SPSS) and/ or programming languages (e.g. Python/ R) will be a distinct advantage. In addition much of our environmental data is spatial in nature, so experience of working with GIS products will be considered beneficial.

*         Domain knowledge. Candidates should have a background in a field related to the environment and/ or risk management. Knowledge of natural hazards and factors which contribute to disaster resilience are highly desirable attributes

*         Project management. Work is largely project based, and the candidate will have experience of successfully delivering projects.

*         Innovation. Verisk Maplecroft is committed to ensuring that our product offering remains at the cutting edge. The successful candidate will be creative and solutions-focused.


*       Building and maintaining relationships

*       Communication

*       Planning, implementation and control

*       Client focused

*       Efficiency focused
For more information please contact richard.hewston at maplecroft.com<mailto:richard.hewston at maplecroft.com>



Dr Richard Hewston  Head of Strategy, Environment and Climate Change
Verisk Maplecroft, 1 Henry Street, Bath, BA1 1JS, United Kingdom +44 (0)1225 420000
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Rich Hewston
Ext: 257
DD: +44 (0)1225 822 257


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