Marshall Wolfe
Climate Risk Data Scientist

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Climate Risk Data Scientist
📍 Edinburgh/hybrid | 3 month contract - Inside IR35
Marshall Wolfe are hiring on behalf of our client within banking, who are hiring for a Senior Model Risk Validation Analyst. 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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