Climate Risk Data Scientist

Climate Risk Data Scientist

Marshall Wolfe are hiring on behalf of our client within banking, who are hiring for a Climate Risk Data Scientist. This role will join a growing risk function, providing independent validation and oversight of climate and sustainability-related models used across strategic planning, risk management, capital allocation, and transition planning.

Key Responsibilities

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• Independently validate climate, forecasting, scenario analysis, stress testing, and optimisation models.
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• Assess model methodologies, assumptions, data quality, limitations, and performance.
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• Conduct sensitivity testing and quantitative analysis to identify and document model risks.
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• Produce clear validation reports and recommendations for senior stakeholders and governance forums.
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• Support model risk governance, regulatory compliance, and validation controls.
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Requirements

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• Degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Physics, or Data Science.
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• Strong knowledge of climate risk, transition planning, decarbonisation pathways, climate scenarios, and net-zero strategies.
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• Experience validating complex quantitative models, ideally within financial services, risk, or regulatory environments.
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• Advanced analytical skills and proficiency in Python for data analysis and model assessment.
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• Excellent report-writing and stakeholder management skills, with the ability to communicate technical findings to senior audiences.
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• Familiarity with model risk regulations and frameworks, including SS1/23, would be advantageous.
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Location: Edinburgh - Hybrid | Type: Contract Inside IR35 | Duration: 3 months