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Harnham

Associate Analytics Consultant

London
£75k/yr
Posted about 20 hours ago
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Associate Analytics Consultant

London (Hybrid – Monday to Thursday Office / Friday Remote)
Up to £75,000

THE COMPANY

This global data, analytics and technology business helps organisations make smarter lending decisions through market-leading credit data, analytics and consultancy. Working with banks, lenders, telecoms and other major organisations, they develop analytical solutions that improve customer acquisition, credit decisions and portfolio performance. Having recently migrated to the cloud and invested heavily in Python, it's an exciting time to join a business known for its strong culture and excellent staff retention.

THE ROLE

As an Associate Consultant within the Client Analytics team, you'll deliver consultancy projects for some of the UK's largest lenders and financial services organisations. Working directly with clients, you'll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions.

This is a highly commercial, client-facing position where you'll own analytical projects from discovery through to delivery, presenting insights and recommendations to senior stakeholders while balancing technical excellence with commercial impact.

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.

P

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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It 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.

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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

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.

You'll be responsible for:

  • Developing acquisition and behavioural credit scorecards using CRA data
  • Building statistical and machine learning models including logistic and linear regression
  • Designing and implementing credit strategies for new and existing customer portfolios
  • Analysing large datasets using SQL and Python (or SAS)
  • Delivering analytical consultancy projects for external clients across multiple industries
  • Presenting technical findings and commercial recommendations to senior stakeholders
  • Supporting clients to improve lending decisions through data-driven insights

The role covers the full modelling lifecycle, including sample design, performance analysis, reject analysis and strategy development.

YOUR SKILLS AND EXPERIENCE

You'll ideally have:

  • Experience developing credit scorecards within a credit risk environment
  • Strong knowledge of Credit Reference Agency (CRA) data (Equifax, Experian or TransUnion)
  • Credit risk experience across model development or strategy
  • Strong SQL skills alongside Python or SAS (Python preferred)
  • Experience with statistical modelling techniques such as logistic regression or machine learning
  • Excellent communication skills with the ability to present to clients and senior stakeholders

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THE BENEFITS

  • Up to £75,000 salary
  • Hybrid working (Monday-Thursday office, Fridays remote)
  • Work with a wide range of clients across financial services, telecoms and beyond
  • Opportunity to work on varied analytical consultancy projects rather than a single portfolio
  • Modern cloud-based technology stack with increasing use of Python
  • Strong career progression within a business known for long employee tenure
  • Two-stage interview process with a fast turnaround

HOW TO APPLY

Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

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Skills

Credit Scorecard Development
CRA Data
SQL
Python
SAS
Logistic Regression
Linear Regression
Machine Learning
Credit Risk Strategy
Statistical Modelling
Stakeholder Management
Client Facing Consultancy

Location

London, England, United Kingdom

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