McNally Recruitment Ltd
Data Analyst

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DATA ANALYST (Securitisation Technology)
We are working in collaboration to source a DATA ANALYST (Securitisation Technology) for a Financial Services client. You will be based in the London branch, working a maximum of 2 days per week.
What you'll do
- You’ll manage the analysis of complex bank, franchise or function data to identify business issues and opportunities
- Provide high-quality analytical input to help develop and implement innovative processes and resolve problems across the bank. This is a hands-on role in which you'll hone your data analysis expertise and gain valuable experience in a dynamic area of our business
- You'll be supporting the delivery of high-quality business solutions, performing data extraction, storage, manipulation, processing and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data.
- Partner with Securitisation, Treasury, Risk, Finance, Operations, and Technology teams to translate business challenges into data-driven solutions and requirements
- Analyse complex securitisation data using SQL and Excel to identify trends, investigate issues, and generate actionable insights
- Gather, document and validate business and data requirements to support technology change and regulatory initiatives
- Perform data profiling, mapping, lineage, and quality analysis to improve data accuracy and governance
- Collaborate with Product Owners, Business Analysts, and Engineering teams throughout design, testing, and implementation activities
- Produce reporting, management information, and analytical outputs to support decision-making and operational performance
- Mentor junior analysts and promote best practices in data analysis, stakeholder engagement, and continuous improvement
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
The skills you'll need
- We’re looking for someone with experience of using data analysis tools and delivering data analysis in a technology or IT function.
- You'll also demonstrate:
- Experience as a Data Analyst, or hybrid Data and Business Analyst within financial services and Securitisation Technology.
- Strong securitisation and structured finance knowledge, with an understanding of asset classes, transaction lifecycles, and associated data flows
- Advanced SQL and Excel skills, with the ability to analyse, reconcile, and interpret large and complex datasets
- 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 stakeholder management and communication skills, with the ability to work effectively across business and technology teams
- Experience coaching or mentoring colleagues and contributing to a collaborative, high-performing team environment


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The salary range INCLUDES 10% for Benefits-in-Cash and 10% Discretionary Bonus!
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