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RBS

Compliance Data Analyst

London
Posted 1 day ago
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Join us as a Compliance Data Analyst

This is an opportunity to take on a purpose-led role in the Compliance Data Analytics team focused on transforming compliance through data, automation and predictive insight, helping the organisation proactively identify and manage regulatory and conduct risks.

You'll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose.

You'll bring advanced analytics to life through visualisation in a meaningful way for key stakeholders, giving you excellent recognition for your work.

What you'll do

As a Compliance Data Analyst, you'll develop data-driven insights and analytics solutions that help identify and monitor conduct, compliance and regulatory risks across the organisation. You'll be working closely with compliance stakeholders to define detailed questions, problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible.

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

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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Strong

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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Strong

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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.

As well as this, you'll be:

  • Delivering data and analytics expertise and solutions, that enhance regulatory compliance, strengthen risk oversight and support informed decision making
  • Communicating data and analytics opportunities and bringing them to life in a way that compliance stakeholders can understand and engage with, supporting them to select the best approach for the business needs
  • Using new tools, technologies and methodologies to carry out advanced analytics
  • Designing intuitive dashboards, metrics and management information that support risk-based decision making and oversight
  • Sharing relevant updates with key stakeholders bringing together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs

The skills you'll need

We're looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages. Along with proficiency in advanced analytics, you'll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling. You'll also have good financial services knowledge, and the ability to identify wider business impact, risk and opportunities, making connections across key outputs and processes.

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You'll also demonstrate:

  • Strong knowledge of data management principles, and experience working with large datasets within cloud-based data environments
  • Experience using SQL to extract, manipulate and analyse data, including gathering, cleaning and transforming data from multiple sources
  • Experience using Python for data preparation, analysis and visualisation, including libraries such as Plotly, together with exposure to JavaScript
  • Dashboard design and data visualisation experience and best practices
  • Knowledge of data engineering, data science and decisioning disciplines
  • Strong communication skills with the ability to engage with a wide range of stakeholders and translate data into key insights

Hours

35

Job Posting Closing Date:

09/10/2026

Ways of Working:

Hybrid

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Location

London, England, United Kingdom

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