Data Scientist

Lendable Ltd; London; On-site; GBP 45,000 - 70,000; Full time

Job summary

Lendable Ltd is looking for a Data Scientist to join their team to develop innovative credit risk models that enhance consumer financial products. The role offers a chance to work with cutting-edge machine learning techniques and drive decisions that are crucial for the company's success, within a collaborative environment in London. Candidates should have a strong background in Python and SQL and be able to communicate insights effectively.

Benefits

Best-in-class compensation including equity

Work from home on Mondays and Fridays

Private health insurance coverage

Fully stocked kitchen in the office

Qualifications

• Experience using Python and SQL required.
• Strong proficiency with data manipulation including packages like NumPy and Pandas.
• Knowledge of machine learning techniques and their respective pros and cons is necessary.

Responsibilities

• Developing credit risk models to underwrite loan and credit card products.
• Working cross-functionally to analyze business problems and propose data-driven solutions.
• Designing and managing experiments on product and service performance.

Skills

Python

SQL

NumPy

Pandas

Machine Learning Techniques

Communication

Job description

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Data Scientist

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 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 (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the two biggest Western markets (UK and US), where trillions worth of financial products are held by big banks with outdated systems and painful processes.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 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 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 TA
• Take-home task
• Task debrief and case study interview
• Final interviews with 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 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.

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