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Chief Placeholder Officer

  • London
  • Full Time (Permanent)
  • Hybrid
  • Placeholder team
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About this role

Suspense thrives on uncertainty, a calculated pause that draws in the observer. In this pause, placeholders emerge as valuable cues. Their very presence suggests that what is yet unseen could hold the answers, a revelation or a solution. When used thoughtfully, a placeholder can tease and compel, engaging the imagination.

Responsibilities

In websites, a loading spinner is no different than the ellipsis of a suspenseful plot twist; it tells the viewer that what is coming is worth waiting for. Key benefits of effective placeholders include:

  • Maintaining engagement: By signaling more to come, placeholders prevent user drop-off.
  • Setting expectations: Clear, well-placed placeholders hint at what content is coming next, adding structure.
  • Building suspense: The anticipation of more content holds attention, just as in storytelling.

Placeholder content, however, must tread a careful line. Too sparse, and it risks undermining its own suspense; too dense, and it overwhelms with unnecessary clutter. The balance lies in leaving just enough room for the mind to wander and fill the gaps.

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Analytics Engineer

  • London
  • Full Time (Permanent)
  • Hybrid
  • UK Growth (Analytical)
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About the role

We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business.

You’ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.

The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.

You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business.

What you'll be doing

  • Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.

  • Championing standards and contributing to the improvement of our analytics engineering culture.

  • Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines

  • Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.

Our modern data stack

You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.

What we're looking for

We’re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth.

More specifically, we’re looking for:

  • Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.

  • Strong experience with ELT pipelines and transformation at scale, ideally using dbt.

  • Experience with Snowflake or another modern cloud data warehouse.

  • Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.

  • A collaborative working style and clear communication across technical and non-technical stakeholders.

  • Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows

Interview process

  1. Initial call with an engineer

  2. 15 minute Cognitive Assessment

  3. Onsite or Video Interview lasting 90 minutes, comprising of:

    • Introduction of the team and kind of work you could be doing daily

    • Interactive architecture/design exercise

    • Questions you may have about the company, role, etc.

  4. A 60 minute chat with this role's primary stakeholders

    • Cultural/behavioural questions

    • Product mindset and ability to collaborate and communicate

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About Lendable

A large group of around 50 people, and one dog, in an office facing the camera and smiling

Lendable is on a mission to build the world's best technology to help people get credit and save money.

  • Founded in 2014

  • Profitable since 2017

  • Unicorn in 2021

  • Backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan

  • Loved by customers & employees with top reviews on Glassdoor and 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 are held by big banks with dated systems and painful processes.

Life at Lendable

Two people with laptops on their lap sat either side of a black labrador on a sofa in front of a window. The dog is a very good girl.
  • 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 we all come together IRL to be together, build and exchange ideas

  • Our in-house chefs prepare fresh, healthy lunches 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 keen to make Lendable the most inclusive and open workspace in London

Check out our Glassdoor Reviews