About Lendable

Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.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 400 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 Senior Data Science Manager into our London team! 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 have access to the latest machine learning techniques combined with a rich data repository to deliver best-in-market risk models. Although this role will be working closely with our US products, it will be based in London and follow our UK working hours.Our team's objectivesThe data science team develops proprietary behavioural models combining state-of-the-art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management.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 these objectivesLearn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value.Extract, parse, clean, and transform data for use in machine learning and analytic evaluations.Build algorithms and predictive models that enhance underwriting quality.Translate business problems into data science problems that facilitate data-driven solutions and drive business strategy.Research new data sources, advise on costs/benefits of introducing the data into lending decisions.Clearly communicate results to stakeholders through verbal and written communication.Share ideas with the wider team, learn from and contribute to the body of knowledge.Be a great mentor to a team of talented data scientists and the broader analytics community.Thrilled by the challenges of driving many exciting data science projects from both strategic and tactical levels.What we are looking forExperience using Python.Experience with Jupyter / Pandas / Numpy to manipulate and analyse data.Knowledge of machine learning techniques and their respective pros and cons.Experience with model governance in the lending industry.Confident communicator and contributes effectively within a team environment.Self-driven and willing to lead on projects/new initiatives.Experience of managing data scientists is not required, but good to have.Knowledge of Software Engineering Principles and best practices, including version control, code optimization, modular design, and testing methodologies is not required, but good to have.Interview processInitial call with TA.Hiring Manager Call.Take-home task.Task debrief and case study interview.Final interviews with Head of US, CRO, and Head of Data Science.Life at Lendable (check out our Glassdoor page)> 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 chef

prepares 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 looking to make Lendable the most inclusive and open workspace in London.Check out our blog!

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