Data Scientist (Climate Risk)
Why This Role Stands Out
This hybrid Data Scientist role offers a fantastic opportunity to leverage your climate risk expertise within a leading UK retail bank, contributing to crucial sustainability initiatives and gaining valuable experience in model validation. If you thrive on analytical challenges and enjoy driving impactful change in a reputable financial institution, this position is perfect for you to apply your skills.
Quick Overview
Job Description
AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.
Our Contingent Workforce Solutions (CWS) is one of our service offerings. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.
Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers. The banks expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.
On behalf of this organisation, AMS are looking for a Data Scientist for a 3 month contract based in Edinburgh with remote working available (Hybrid).
Purpose of the role:
We are seeking an experienced Data Scientist with specialist expertise in Climate Risk, Transition Planning and Sustainability Modelling to provide independent oversight and challenge of the organisation's data-driven models.
You will be responsible for conducting robust model validations, quantitative analysis and governance reviews across climate risk models, ensuring that model risks are identified, assessed and appropriately managed.
What you'll do:
- Perform independent validation of climate risk, forecasting, scenario analysis, stress testing and optimisation models.
- Conduct quantitative analysis, sensitivity testing and model reviews to assess performance, robustness and fitness for purpose.
- Evaluate model assumptions, methodologies, data quality, uncertainty and limitations, ensuring model risks are clearly identified and documented.
- Assess compliance with regulatory requirements, including PRA SS1/23, and internal model risk standards.
- Review model sub-components and controls, preparing validation checklists and governance documentation.
- Produce high quality validation reports and papers for senior management, regulators and auditors.
- Provide expert advice on climate risk modelling, transition planning and sustainability related analytics.
The skills you'll need:
- Strong expertise in climate risk, climate scenarios, decarbonisation pathways, net-zero strategies and emerging sustainability regulations.
- Experience independently validating complex quantitative models, ideally within financial services.
- Strong understanding of model risk management frameworks and governance.
- Advanced Python skills for data manipulation, analysis and model assessment.
- Experience reviewing and auditing model builds, with the ability to understand and challenge underlying model mechanics.
- Degree in a quantitative discipline such as Mathematics, Statistics, Data Science, Economics, Engineering or Physics.
Next steps
This client will only accept workers operating via an Umbrella or PAYE engagement model.
If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.
AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business
Skills
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