Pab Staffing Solutions Ltd
DATA ANALYST-Securitisation & Structured Finance

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Data Analyst - Securitisation & Structured Finance
Location: London, UK
Working arrangement: Hybrid – 2 days per week in the office
Salary: Up to £85,000 base + 10% flexible benefits + 10% pension + discretionary bonus
PLEASE KINDLY READ THE JD BEFORE APPLYING
The Opportunity
We’re looking for an experienced Data Analyst to join a Securitisation Technology team, working on the Secure Funding platform, which supports the entire bank across Retail, Investment Banking, International and Corporate.
This is an opportunity for a technically strong Data Analyst with a solid understanding of securitisation and structured finance to work at the intersection of data, technology and financial services.
The team is expanding its presence in London, where global work for the platform is coordinated. You’ll work closely with business and technology stakeholders to analyse complex data, resolve issues and support the delivery of effective business and technology solutions.
What You’ll Do
- Analyse complex securitisation data using SQL and Excel to identify trends, investigate issues and generate actionable insights.
- Perform data extraction, storage, manipulation, processing and analysis.
- Develop and perform standard queries to ensure data quality and identify inconsistencies or missing data.
- Carry out data profiling, mapping, lineage and quality analysis to improve data accuracy and governance.
- Partner with Securitisation, Treasury, Risk, Finance, Operations and Technology teams to translate business challenges into data-driven solutions and requirements.
- Gather, document and validate business and data requirements supporting technology change and regulatory initiatives.
- Collaborate with Product Owners, Business Analysts and Engineering teams throughout design, testing and implementation.
- Produce reporting, management information and analytical outputs to support decision-making and operational performance.
- Contribute to continuous improvement and promote good practice in data analysis and stakeholder engagement.
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?
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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.
What We’re Looking For
Essential Experience and Skills
- 6+ years’ experience working as a Data Analyst within a financial institution.
- Strong business knowledge of securitisation and structured finance products, including an understanding of asset classes, transaction lifecycles and associated data flows.
- Strong practical SQL and Excel skills, with the ability to analyse, reconcile and interpret large, complex datasets.
- Experience delivering data analysis within a technology or IT function.
- Experience translating business needs into data requirements and technology solutions.
- Strong analytical and problem-solving skills, with a focus on data quality, root cause analysis and process improvement.
- Excellent client-facing communication and stakeholder management skills, with the ability to work effectively across business and technology teams.


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Desirable
- Experience coaching or mentoring colleagues and contributing to a collaborative, high-performing team environment.
Interview Process
The selection process consists of three stages:
- Take-home Excel and SQL test.
- Technical interview.
- Behavioural interview.
Interested?
If you have at least six years of Data Analyst experience within a financial institution, strong SQL and Excel skills, and a solid understanding of securitisation and structured finance, we’d welcome your application.
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