Finance Data Analyst

Lendable is on a mission to make consumer finance amazing: faster, cheaper, and friendlier. 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 600 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.

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:

• Take ownership of monthly investor servicing reports across all products, ensuring accuracy, consistency, and timely delivery.

• Manage a wide range of transaction monitoring and key reconciliations, including loan transactions, settlements, investor liquidity, and business operations.

• Reconcile large data sets to support accurate reporting across Finance and Capital Markets.

• Develop automation tools to streamline processes, reduce manual effort, and shorten timelines.

• Prepare and monitor compliance certificates and assist with monthly management financials.

• Identify and implement process improvements across investor reporting and financial reconciliations to enhance efficiency and control.

What we’re looking for:

• A strong academic background (STEM, Data Science, or Finance preferred).

• Sharp analytical and problem-solving skills with high attention to detail.

• Proficiency in Excel, google sheets and comfort working with large data sets.

• Experience using Python and SQL.

• Strong organisational skills and the ability to manage cross-team deliverables.

• Someone who thrives in an entrepreneurial environment and wants to have a real impact.

Nice to have:

• Knowledge of machine learning techniques.

• Strong SQL and interest in data engineering.

Interview process:

We’re not a slow-moving bureaucratic organisation so we try our best to get things moving as quickly as possible. For this role you can expect:

• A virtual meeting with one of the team

• An exercise to complete in your own time

• Onsite interviews with the hiring Manager and senior team members

• 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!