GTC Recruitment
Remediation Data Analyst

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Remediation Data Analyst – 18-Month Contract
Location: London – Hybrid (2 days per week)
Contract Length: 18 months
IR35: In scope
Security Clearance: BPSS, with SC clearance process following appointment
Pay Rate to Candidate: UMBRELLA £400
We are currently recruiting for an experienced Remediation Data Analyst to join a leading organisation on an exciting 18-month contract based in London.
This role would suit a data-focused professional with strong banking and remediation experience, who is confident working with large datasets and has hands-on experience using R and/or Python and Excel.
The Role
As a Remediation Data Analyst, you will support remediation activity through detailed data analysis, investigation, and reporting. You will work with complex datasets to identify discrepancies, investigate exceptions, and provide accurate analysis to support key business outcomes.
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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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.
Key Responsibilities
- Analyse and manipulate large datasets to support remediation activity.
- Identify and investigate data discrepancies, anomalies, and exceptions.
- Use R and/or Python for data analysis and manipulation.
- Use Excel for reconciliation, validation, analysis, and reporting.
- Produce accurate MI and reporting for key stakeholders.
- Identify data quality issues and recommend appropriate resolutions.
- Maintain clear documentation and audit trails.
- Work closely with business, data, and operational teams throughout the remediation process.
- Ensure analysis is accurate, robust, and completed within agreed timescales.


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Essential Experience
We are looking for candidates with:
- Proven remediation experience.
- Previous banking or financial services experience.
- Strong R and/or Python experience.
- Strong Excel skills.
- Excellent analytical and problem-solving abilities.
- Strong attention to detail when working with complex and sensitive data.
- The ability to communicate analytical findings clearly to technical and non-technical stakeholders.
Security Clearance
The successful candidate will require BPSS clearance and will be expected to undergo the SC clearance process once in post.
Apply Now
If you have a strong background in remediation and banking, alongside proven R/Python and Excel experience, we would be keen to hear from you.
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