Campion Pickworth
Assistant Data Analytics Manager - Financial Services

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Campion Pickworth is partnering with a leading financial advisory firm to recruit for a role within the Data Analytics space, within its banking and capital markets practice. This role presents a strong opportunity for someone looking to apply deep technical and modelling expertise while working closely with stakeholders across a fast-paced, high-performing team.
About the role:
This is a hands-on role for someone who loves working with data, building models, and solving real-world financial services problems in a fast-paced environment. You’ll sit at the intersection of analytics, audit, and regulatory change – helping shape how data and modelling are used across the audit lifecycle.
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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Essential Requirements:
- Degree (Bachelor’s, Master’s or PhD) in a quantitative field (e.g. mathematics, physics, statistics, computer science, finance or engineering), or equivalent experience.
- 2-5 years of experience in analytics or modelling within financial services.
- Strong attention to detail with experience reviewing code, outputs and documentation.
- Hands-on data processing skills, including:
- Data quality assessment
- Data cleaning and consolidation
- Data analysis and visualisation
- Insight interpretation
- Advanced technical skills in Excel and Python, SQL, VBA OR Tableau
- Knowledge of financial asset classes (e.g. derivatives, loans and mortgages).
- Excellent written and verbal communication skills.
- Ability to build and maintain strong client relationships.


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Desirable Requirements
- Professional qualification held or in progress (e.g. CQF, FRM, CFA, ACA or CIMA).
- Understanding of the financial regulatory environment.
- Knowledge of data quality frameworks such as BCBS239.
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