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.
About the role
We’re building the most advanced, data-driven operating model in fintech. As part of Lendable’s Operations Science & Strategy team, you’ll sit at the intersection of analytics, data science, and AI engineering - using data, LLMs, and automation to transform how our Operations teams work at scale.
You’ll work directly with senior operations leadership working on special projects to diagnose demand drivers, uncover commercial opportunities, build KPI frameworks, and deploy automation that materially reduces our cost-to-serve while improving customer outcomes.
If you’re technical, curious, and love owning problems end-to-end, this is the role for you.
What You’ll Do
1. Automation & AI Engineering
Use Python and LLM APIs (e.g. OpenAI) to design and deploy automation that replaces manual CS/FS processes.
Build prototypes, test with real operations data, and scale the successful ones into production workflows.
Partner with PMs and engineers to operationalise AI-driven solutions across Operations.
2. Demand Analytics & Strategy
Analyse key operations demand drivers (contact per customer, reason drivers, seasonality, servicing behaviour).
Identify levers to reduce avoidable demand and improve customer outcomes.
Build analytical models that drive decision-making around cost optimisation and resourcing.
3. KPI & Funnel Intelligence
Build clear, robust KPI frameworks and funnel views across customer journeys.
Translate data into commercial insight, operational efficiency recommendations, and productivity tracking.
Create metrics that scale across new geographies, products, and teams.
4. Work With Senior Leadership
Work directly with Ops Directors, Heads of CS/FS/Fraud/Complaints, and the COO on strategic initiatives.
Turn raw data into narrative-driven recommendations that are simple, actionable, and commercially grounded.
Own analytics for high-impact projects end-to-end.
What We’re Looking For
Must-Have Skills
2-3 years of hands-on experience using Python in a professional setting.
Highly numerate with strong analytical reasoning
Ability to independently structure analysis, build prototypes, and deliver insights.
Experience communicating data-driven recommendations to non-technical business stakeholders.
Nice-to-Haves
STEM Degree
Experience with dbt or modern data stacks.
Familiarity with LLMs, APIs, or interest in building AI automation.
Exposure to product, strategy, or operations environments.
Thrives in fast-paced, ambiguous environments.
Comfortable wearing multiple hats Analyst, Data Scientist, AI Engineer, PM.
Highly motivated, entrepreneurial mindset, and excited by building the strongest operating model in fintech.
Why Join
Work on high-visibility, high-impact projects that directly shape the future of Lendable’s operations.
Build automation and analytics used daily by hundreds of agents and thousands of customers.
Collaborate with a small, sharp, and ambitious team that moves fast.
Real ownership: if you build it, you’ll see it shipped and scaled.
Interview process
Screening Call + Python Questions
Live Technical Python Interview
Final interviews with 2 senior leaders
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 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
About Lendable
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.