Equifax
Lead Debt Recovery Performance Analyst

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About the Role
This role is critical to maintaining our position at the forefront of the debt sector. The key to our success has been the high quality and flawless execution of debt recovery strategies for our clients and the ability to constantly innovate, demonstrating short and long term value.
The Lead Debt Recovery Performance Analyst is responsible for driving continuous improvement in debt recovery strategies. You will be part of a high performing team delivering market-leading services, and making a meaningful impact on client outcomes.
What you'll do
- Strategy & Innovation: Devise and execute superior portfolio strategies to optimise liquidation and collections while driving a "test and learn" agenda for new data and strategies.
- Stakeholder Engagement: Act as a key point of contact for clients and internal partners (Supplier Management, Operations) to communicate performance and influence strategic objectives.
- Portfolio Oversight: Manage all aspects of the performance of client portfolios, ensuring the effective handling of a range of customer statuses, including early to late-stage arrears and personal insolvencies, as applicable.
- Process Optimisation: Identify and implement efficient solutions to automate processes and enhance product developments through rigorous testing and validation.
- Reporting & Insight: Own the development and delivery of Management Information (MI) that provides deep insight to internal and external stakeholders and identifies opportunities for improvement.
- Financial Performance: Support the management team in forecasting and communicating the business's financial performance while identifying revenue opportunities through portfolio deep dives.
- Operational Support: Provide analytical support to Relationship and Operational teams to ensure the delivery of exceptional service to clients.
- Data Integrity: Responsible for the reconciliation of data between multiple sources to ensure accuracy and high-quality output.
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.
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.
What Experience You Need
- Analytical Expertise: Exceptional analytical and problem-solving skills with a high degree of rigour and the ability to translate business objectives into an analytical agenda.
- Industry Background: Proven experience working in a high-performing Collections or Recoveries environment.
- Technical Proficiency: Advanced experience with data set manipulation and database environments such as SQL.
- Numeracy & Precision: Exceptional numeracy skills with a meticulous attention to detail.
- Communication & Influence: Strong interpersonal skills with the confidence to influence stakeholders at the highest levels and effectively communicate complex analytical insights.
- Delivery: Experience delivering high-quality output within tight deadlines.


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What could set you apart
- Advanced Technical Skills: Experience using Python for data manipulation and advanced analytics. Familiarity with Google workspace tools.
- Academic Background: A BA/BSc (2:1 or higher) in Mathematics, Statistics, or another numerically focused degree.
- Broad Financial Context: Prior experience within the wider Financial Services sector.
- People Management: Prior experience of managing a small team to deliver analytical insights and data-informed initiatives.
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