Morson Edge (Financial Services)
Data Assurance Manager

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Data Assurance Manager – Audit, Python, SQL, Tableau, Data Assurance, Analytics, Risk Management, Planning – Financial Services – Permanent – Up to £68,500 Base + Bonus
My client, a leading Financial Services consultancy, is seeking an experienced Data Assurance Manager to join its London-based office on a permanent basis.
As a Data Assurance Manager, you will:
- Lead data quality assurance engagements across a diverse portfolio of Audit & Assurance clients.
- Manage small, high-performing teams to understand and assess clients' data environments.
- Execute data quality testing using established assurance frameworks.
- Deliver actionable insights.
- Develop clear and compelling Tableau dashboards and visualisations that communicate findings, business risks, and opportunities to stakeholders.
In addition, you will:
- Take ownership of engagement delivery, including scoping, planning, budgeting, resource management, risk management, and ensuring projects are delivered on time and within budget.
- Build trusted relationships with clients by leading meetings, presenting findings, and managing senior stakeholders throughout the engagement lifecycle.
- Have hands-on experience in Data Assurance, leveraging Python and SQL to automate testing and enhance analytics capabilities.
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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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.
Skills required:
- A bachelor's degree (or equivalent) in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering, Accounting, or Finance.
- Proven experience working within an analytics, data assurance, modelling, or audit technology function in the Financial Services sector, either within a professional services firm or a FTSE 350 organisation.
- Demonstrable experience leading Data Assurance, analytics, or audit technology engagements, managing multiple projects and teams while working to demanding reporting deadlines.
- Advanced Python skills, including experience developing automated data quality tests, reviewing code, and communicating technical findings to both technical and non-technical audiences.
- Hands-on experience designing Tableau dashboards and visualisations to communicate data quality findings, business risks, and analytical insights.
- Working knowledge of SQL and experience querying large and complex datasets.


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This is an exciting opportunity to lead innovative data assurance engagements for a portfolio of high-profile Audit & Assurance clients, helping organisations build confidence in the quality, integrity, and reliability of their critical data.
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