Cathcart Technology
Quantitative Analyst

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Experienced Quantitative Analyst Required
About the Role
An experienced Quantitative Analyst is required for an organization based in central Scotland.
You'll provide quantitative research and analysis across a varied range of complex questions, using data to identify trends, differences and potential future trends and outcomes.
Responsibilities
You’ll use a range of statistical techniques to investigate complex datasets and answer challenging research questions. This could include:
- Building models to understand and predict outcomes
- Applying Bayesian methods
- Testing statistical assumptions
- Identifying patterns and analysing how results change over time
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
You’ll often be working with data from multiple sources, so experience handling large, messy or incomplete datasets, alongside an understanding of uncertainty and potential bias, is important.
You'll have significant autonomy as an individual contributor, taking unclear questions, determining the appropriate data and analytical approach, and communicating findings clearly to non-technical stakeholders.


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Key Skills
- Strong quantitative and statistical analysis experience
- Bayesian modelling and statistical validation
- Python or R
- Predictive modelling, forecasting and segmentation
- Experience working with large, complex datasets
- Ability to work with incomplete information and datasets
Salary and Location
- Salary: Up to £75k + strong benefits
- Work Arrangement: Hybrid
- Location: Central Scotland
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