Business Risk Modeller - Senior

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Create analytics to help companies make the transition to a sustainable future

Are you a risk modeller looking for a change from the finance sector? Maybe you have played an important role in shaping environmental policy for companies, or perhaps you have studied climate modelling and have a good appreciation for implications for businesses. If so, a successful Cambridge based company, at the forefront of predicting and planning for systemic events could be an ideal next move for you.

You would be researching and working on transition risk models: estimating the costs of increased carbon pricing and regulation; assessing liabilities arising from past emissions or looking at market risks from changing consumer preferences and investor priorities. Other areas include: technology risks from disruptive innovation, and reputation risks affecting customers and counterparties. Or your work could include developing physical risk models: quantifying the costs of business disruption from changing patterns of extreme weather, based on analysis of global circulation models and natural catastrophe analytics.

In this senior position, you will help shape the strategy of the analytics team and apply your existing knowledge across nature and climate to build the next generation of data-driven models.

Attributes and experience:

• An MSc or PhD in a mathematical, engineering or science-based subject, such as Natural Sciences, Engineering, Maths, or Economics from a Russell Group university
• Good competency in modelling languages such as Python, R, MATLAB, SQL or C++
• An interest in business risk and management science
• The ability to quickly research brand new topics, sourcing information and organising and interpreting datasets
• Commercial experience involving presenting complicated technical information effectively to non-specialists, and communicating insights and analyses to teammates and clients alike

Ideally, great candidates will also show:

• Relevant experience in model development (e.g. natural catastrophe modelling, corporate financial valuation, macroeconomic modelling)
• Skills in working with GIS systems such as Quantum GIS and/or programmatic GIS such as GeoPy or Spatial SQL
• In-depth understanding of company carbon accounting and impact assessments, and sustainability reporting frameworks such as TCFD, CSRD, etc.

Full permission to live and work in the UK without time limit, restriction or sponsorship will also be required, as our client cannot offer sponsorship.

The company is situated close to the main Cambridge railway station, in modern well-equipped offices, which reflect the energetic vibe of this start-up. Hybrid working is also available for one or two days a week.

Keywords: Risk Management, Cambridge, Quantitative Analyst, Maths Modelling, Climate Modelling, Natural Catastrophe Modelling, Data Science, Python, Economics, Transition Modelling

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Please apply (quoting ref:TJ27146) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.