Senior Credit Risk Manager - Cards
LendableAbout 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 newest unicorns with a team of just over 700 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.
Join us if you want to
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
Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting
About the role
We're looking for a Senior Credit Risk Manager to join the US Cards Credit team. This is a high-ownership role where you'll shape how we make, measure, and value credit decisions, partnering closely with data science, product, engineering, and capital markets to drive meaningful impact across the portfolio.
Our core responsibilities
Build a high-performing credit card portfolio with ambitious growth targets and a commitment to responsible lending
Optimize credit decisioning including who to lend to, limits to set, and rates to offer
Define and refine credit strategies that align with evolving portfolio goals, staying ahead of economic trends and adapting accordingly
Own the end-to-end testing ecosystem — experimentation design, implementation standards, and statistically sound result interpretation
Build and own a monitoring & analytics suite that gives a clear, end-to-end view of credit performance and unit economics, and serves as a single source of truth for senior leadership
Develop and own models that forecast returns, value the portfolio, and drive investor reporting
Discover data-driven insights using Python and SQL to address key business questions
Collaborate cross-functionally with product, engineering, data, and operations teams to implement and improve strategies
Continuously monitor the effectiveness of credit strategies and identify areas for improvement
What you'll need to succeed
Daily coding experience with Python and SQL
Proven experience in credit risk strategy within finance, ideally within consumer lending
Deep understanding of experimentation, measurement, and statistical inference (power, significance, bias, causality, guardrails)
Strong understanding of credit performance and unit economics in lending
Strategic thinking and ability to translate complex data into clear, actionable decisions
Results-focused mindset balancing busi
Similar roles
Design & Tech
Related reads from TCHNX

The Quiet Revolution in Local-First Software
As major platforms face outages and data breaches, a new generation of developers is building applications that prioritise local data storage and peer-to-peer sync, challenging the cloud-first orthodoxy that's dominated tech for two decades.

The Quiet Revolution in Edge AI: Why Your Next Computer Might Not Need the Cloud
As neural processing units become standard in consumer devices, we're witnessing a fundamental shift in how AI applications work. Local processing is no longer a fallback; it's becoming the preferred architecture.

The Rise of AI-Assisted Code Generation 2: Are Developers Becoming Prompt Engineers?
As AI coding assistants reshape software development, the industry grapples with a fundamental question: is writing code giving way to writing prompts? We examine how London's tech scene is adapting to this seismic shift.


