ABOUT LENDABLE

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.

ABOUT THE ROLE

As a Senior Analytics Engineer, you will oversee the data architecture for our U.S. business and Superapp. These new products are critical to Lendable’s ambitious growth strategy and represent greenfield opportunities where you will take ownership of the data models that will inform our decision-making at all levels. Your work will directly impact our capabilities in credit underwriting, enhancing our ability to make smarter, faster lending decisions. Additionally, your insights will drive user retention and engagement for our consumer-facing app (Zable) aimed at understanding and predicting user behaviour. You will collaborate with analysts, stakeholders, backend engineers, and product teams to enhance our Data Warehouse, turning it into a competitive asset for Lendable. This role will give you the opportunity to significantly influence our organisation by mentoring a team of analysts and setting the foundations of our analytical workflow.

WHAT YOU’LL BE DOING

• Overseeing the data modelling architecture and implementation for our U.S. business and Superapp.
• Driving the development of our DBT models, collaborating with analysts and stakeholders to enhance their efficiency in gaining insights.
• Supporting and mentoring analysts at all technical levels to accelerate their development and improve their engineering skills.
• Communicating analysts’ needs to the data platform team to prioritise our roadmap effectively.
• Acting as a liaison between backend engineers and product teams to understand data generation and its significance, while leading the triage of any issues affecting the analytics pipeline.
• Contributing to the overall data platform strategy to ensure our features are relevant, impactful, and maintain the highest data quality standards.