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.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 roleWe are excited to be hiring a new Data Science Manager for our team! Ideally, this role will suit someone with a proven background in building models in credit, lending, or other areas of financial services. Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-market risk models.This role will primarily focus on our UK Cards business, but through team collaboration, you will be exposed to all areas of Lendable. Our team keeps up with the latest advancements in the industry through regular journal clubs.Our team’s objectivesThe data science team develops proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations efficiency.

Research new data sources and unstructured data representation.

Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions.

Deliver data services to a wide variety of stakeholders by engineering CLI programs / APIs.

Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement.

How you’ll impact those objectivesUse your expertise to build and deploy models that contribute to the success of the business

Stay up to date with the latest advancements in machine learning and proactively propose new approaches and projects that drive innovation.

Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling.

Extract, parse, clean and transform data for use in machine learning.

Clearly communicate results to stakeholders through verbal and written communication.

Mentor other data scientists and promote best practices throughout the team and business

Key SkillsKnowledge of machine learning techniques and their respective pros and cons.

Ability to communicate complex topics clearly and concisely

Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow.

Curiosity, creativity, resourcefulness and a collaborative spirit

Interest in problems related to the financial services domain - a knowledge of Credit Cards is advantageous

Confident communicator and contributes effectively within a team environment

Experience mentoring or leading others

Self-driven and willing to lead on projects / new initiatives

The interview processWe’re not corporate, so we try our best to get things moving as quickly as possible. For this role, we’d expect:A quick phone call with the talent team

Take home task

Task debrief

Case study interview

Meet the leadership team

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, those based in the UK come together IRL at our

Shoreditch office in London

to be together, build and exchange ideas.

Enjoy a

fully stocked kitchen

with everything you need to whip up breakfast, lunch, snacks, and drinks 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 looking to make Lendable the most inclusive and open workspace in London

Check out our

blog

!

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