Principal FP&A Analyst (Modelling)

Posted 7 Days Ago
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London, Greater London, England
In-Office
Mid level
Fintech • Payments • Financial Services
The Role
The Principal FP&A Analyst will develop financial models for budgeting, forecasting, and performance reporting, analyze data for insights, and automate reporting using Python and SQL.
Summary Generated by Built In
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
  1. 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

  2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

  3. 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 highly analytical Principal FP&A Analyst to develop the modelling and analytical engine that power planning, forecasting and performance reporting across the business.

The role suits someone with strong quantitative capability and genuine commercial curiosity, who enjoys building and refining financial models. You will have broad exposure across multiple credit and non-credit products and geographies.

Key responsibilities
  • Build, maintain, and refine detailed financial models to support budgeting and forecasting across current and future products, including scenario, sensitivity, and stress-testing analysis

  • Support the construction of robust rolling financial forecasts

  • Produce and manage dashboards covering key operational and financial metrics used in performance analysis

  • Analyse financial and operational data to identify trends, risks, and opportunities, translating analysis into clear, practical insights for management decision making

  • Use Python, SQL, and other programming and analytics tools to work with large datasets to automate reporting

  • Work with existing FP&A tools (Abacum), and use other machine learning tools where appropriate to improve the speed and efficiency of financial reporting

  • Act as a primary finance partner to product data analysts and data platform engineers, aligning on metrics, data definitions and reporting

  • Proactively explore other workflows across the wider finance team to identify opportunities to automate day-to-day activities for month end close, improving efficiency and reducing reporting timelines that have tangible impact for FP&A

About you
  • Strong academic background in a quantitative discipline such as mathematics, engineering, computer science or a related field

  • Prior experience with financial modelling is preferred, with a grasp of P&L, Balance Sheet and Cash Flow statements.

  • Proficiency in coding - ideally both SQL and Python

  • Someone that loves numbers! You’ll be working with numbers every single day in this role so you’ll be able to demonstrate your ability to work with complex data sets, analyse them and draw insights

  • Clear interest in business and commercial drivers and how companies create value, with experience working in fintech or product led environments

  • Comfortable using AI tools (for example, Claude, Gemini) with sound judgement around their appropriate use and limitations

  • Able to communicate analysis clearly and pragmatically to non-technical stakeholders

  • Comfortable operating in a fast-paced, evolving work environment

The interview process:
  • A quick remote call with one of the hiring team and follow-up 15 minute cognitive assessment.

  • A technical take home task and remote case study interview.

  • A 60 minute on site interview with finance senior leadership and other members of the team.

  • A 30 minute remote session with a member of the senior leadership team.

Life at Lendable
  • The opportunity to scale up one of the world’s most successful fintech companies.

  • Best-in-class compensation, including equity.

  • You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.

  • Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.

  • We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance

  • We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London

Check out our blog!

Top Skills

Abacum
Python
SQL
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The Company
HQ: London
463 Employees
Year Founded: 2014

What We Do

Lendable is a lending platform that makes borrowing money effortless. Using technology, we have trimmed the fat from the traditional loan application process. The result allows us to make an instant decision, offer personalised rates, and transfer funds within minutes. We look beyond applicants'​ credit score, offering loans to people with less-than-perfect credit histories, and charging them less than banks. This way, we provide fair rates to a wider range of borrowers. Once customers have accepted our quote, we deposit their loan within minutes. Because our technology is brand new. Unlike banks, who use huge systems built at a time when the world was different. The internet has made commerce faster, cheaper and safer. Time for finance to step up

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