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Lendable

Graduate Fraud Analyst

London
Posted 8 days ago
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Graduate Fraud Analyst

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s newest unicorns with a team of just over 700 people
  • Among the fastest-growing tech companies in the UK
  • Profitable since 2017
  • Backed by top investors including Balderton Capital and Goldman Sachs
  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards, and car finance. We get money into our customers’ hands in minutes, instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US), where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to:

  • Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1.
  • Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo.
  • Build the best technology in-house, using new data sources, machine learning, and AI to make machines do the heavy lifting.

About The Role

We’re looking for a super-smart fraud strategy analyst who is great with numbers and loves problem-solving to come and have a big impact on our business. We want someone with basic coding experience (Python and SQL) who can use those skills to produce insights from data and support impactful change in our UK businesses. You’ll be working for an ambitious company in a fast-paced environment, with minimal bureaucracy.

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.

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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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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.

Your team's objectives

  • Prevent fraud losses on the UK Cards portfolio whilst balancing great customer experience.
  • Use data and analytics to improve commercial protection and streamline customer journeys.
  • Automate reporting and intelligence sharing for key stakeholders.

How you'll impact those objectives

  • Contribute to the fraud strategy for our evolving portfolios.
  • Discover insights from data and develop strategies to answer the big questions and address key business questions.
  • Collaborate with a wider cross-functional team to implement your strategies in the market.
  • Monitor and assess the success of implemented strategies, and continuously discover further opportunities for improvement.

What we're looking for

  • A graduate with a degree.
  • Proficiency in SQL and willingness to learn Python.
  • Interest in contributing to fraud strategies.
  • Understanding what truly matters and driving business outcomes.
  • A natural curiosity and love to dig into things to understand how they work.
  • A startup mindset. We’re a fast-growth tech startup, so you’ll be super excited to work in an entrepreneurial environment and have a real impact on the business.

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Interview Process

  • 15-minute online test
  • A quick phone call with one of the team
  • Onsite interviews including a case study and lunch with the team
  • C-suite interview

Life at Lendable

  • Winning team: The opportunity to scale up one of the world’s most successful fintech companies.
  • Flexible working: A flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites.
  • Socials & connection: Opportunities and events to come together, socialize, and get to know each other beyond the office walls.
  • Health coverage: Support for your physical and mental wellbeing, including private health cover.
  • Retirement & savings: Long-term financial wellbeing through retirement savings plans.
  • Employee referral programme: Earn a competitive bonus when you refer successful new team members.
  • Office meals & snacks: Enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations.
  • Sustainable commuting: Cycle-to-work and electric vehicle salary sacrifice schemes available in select locations.

(Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.)

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Skills

SQL
Python
Data Analysis
Fraud Strategy
Problem Solving
Commercial Protection
Reporting Automation
Insight Generation

Location

London, England, United Kingdom

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