Pab Staffing Solutions Ltd
Senior Data Analyst - Securitisation & Structured Finance

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Senior Data Analyst – Securitisation & Structured Finance
Location: London – Hybrid, 2 days per week in the office
Salary: Up to £85,000 base + 10% flexible benefits + 10% pension + discretionary bonus
Visa sponsorship may be available for an exceptional candidate already in the UK
Please apply only if your experience aligns with the essential requirements below.
We are seeking an experienced Data Analyst with strong securitisation and structured-finance knowledge to join a major banking group’s Securitisation Technology team.
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.
Essential experience
- 6+ years’ experience in a Data Analyst or hybrid Data/Business Analyst role within financial services.
- Strong, demonstrable knowledge of securitisation and structured-finance products, including relevant asset classes, transaction lifecycles, and associated data flows.
- Advanced SQL and Microsoft Excel skills, with experience analysing, reconciling, and interpreting complex datasets.
- Experience with data quality, profiling, mapping, lineage, and root-cause analysis.
- Strong stakeholder communication skills, with the ability to work across Securitisation, Treasury, Risk, Finance, Operations, and Technology.


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The role
You will analyse complex securitisation data using SQL and Excel, investigate data issues, produce meaningful insights, and support data and technology change. You will also work with business and technology stakeholders to translate requirements into practical solutions.
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