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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 500 peopleAmong the

fastest-growing tech

companies in the UKProfitable since

2017Backed by top investors including

Balderton Capital

and

Goldman SachsLoved by customers

with the best reviews in the market (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 targeting the two biggest Western markets (UK and US), where trillions worth of financial products are held by big banks

with outdated systems and painful processes.Join us if you want to:Take ownership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 1Work in small teams of exceptional people,

who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house , using new data sources, machine learning, and AI to make machines do the heavy liftingAbout the role

We are excited to be hiring a new Data Scientist into our 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.This role will primarily focus on our US unsecured loans and credit cards business.Our team''s objectives

The data science team develops proprietary behavioral models combining state-of-the-art techniques with various 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, analyze, and propose solutions.We self-serve with all deployment and monitoring, without a separate machine learning engineering team.Design, implement, manage, and evaluate experiments of products and services leading to constant innovation and improvement.How you''ll impact those objectives

Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling to contribute effectively.Rigorously search for the best models that enhance underwriting quality.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.Key Skills

Experience using Python and SQL.Strong proficiency with data manipulation including packages like NumPy, Pandas.Knowledge of machine learning techniques and their respective pros and cons.Confident communicator and effective team contributor.Self-driven and willing to lead projects and initiatives.Nice to have

Prior experience of credit risk for consumer lending or credit cards, especially in the US market.Interest in machine learning engineering.Strong SQL skills and interest in data engineering.The interview process

Initial call with TATake-home taskTask debrief and case study interviewFinal interviews with leadership teamLife 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 other days, those based in the UK can work together IRL at our

Shoreditch office in London

to 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, offering coverage for private health insurance.We''re an

equal-opportunity

employer aiming to make Lendable the most inclusive and open workspace in London.Check out our blog! Job ID JxsqqxEwvStx

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