Data Analyst (Strategic Projects)
Lendable
LondonPosted 1 day agoDiscoveredMatch locked
RemoteFullTime2+ years expGrowth & Analytics
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 most exciting unicorns with a team of over 800 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
Join us if you want to
•
Take ownership
you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
•
Work in small teams of exceptional people
Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions
•
Build the best technology in-house
: we use new data sources, machine learning and AI to make machines do the heavy lifting
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.
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.
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
•
Winning team
the opportunity to scale up one of the world's most successful fintech companies
•
Flexible working
flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites
•
Socials & connection
opportunities and events to come together, socialise, and get to know each other beyond the office walls
•
Health coverage
support for your physical and mental wellbeing, including private health cover
•
Retirement & savings
long-term financial wellbeing through retirement savings plans
•
Employee referral programme
earn a competitive bonus when you refer successful new team members
•
Office meals & snacks
enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations
•
Sustainable commuting
cycle-to-work and electric vehicle salary sacrifice schemes available in select locations
Please note
The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
Check out our blog !
Skills
artificial-intelligencepythonllmdbtmachine-learning
Who can apply
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