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 Independently validate climate, forecasting, scenario analysis, stress testing, and optimisation models. Assess model methodologies, assumptions, data quality, limitations, and performance. Conduct sensitivity testing and quantitative analysis to identify and document model risks. Produce clear validation reports and recommendations for senior stakeholders and governance forums. Support model risk governance, regulatory compliance, and validation controls. Requirements Degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Physics, or Data Science.

Strong knowledge of climate risk, transition planning, decarbonisation pathways, climate scenarios, and net-zero strategies. Experience validating complex quantitative models, ideally within financial services, risk, or regulatory environments. Advanced analytical skills and proficiency in Python for data analysis and model assessment. Excellent report-writing and stakeholder management skills, with the ability to communicate technical findings to senior audiences. Familiarity with model risk regulations and frameworks, including SS1/23, would be advantageous.

Location:

Edinburgh - Hybrid | Type:
Contract Inside IR35 | Duration: 3 months