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Data Scientist

Lendable Ltd

London

Hybrid

GBP 40,000 - 80,000

Full time

27 days ago

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Job summary

Join a dynamic fintech company on a mission to revolutionize consumer finance. As a Data Scientist, you'll leverage cutting-edge machine learning techniques and a rich data repository to create innovative credit risk models. This role offers the chance to impact the company's success significantly from day one, working in small, resourceful teams dedicated to solving complex problems. With a strong emphasis on collaboration and innovation, you'll contribute to the development of market-leading financial products while enjoying a supportive work environment that prioritizes well-being and inclusivity. This is a fantastic opportunity to grow your career in one of the UK's fastest-growing tech companies.

Benefits

Best-in-class compensation including equity
Work from home on Mondays and Fridays
Fully stocked kitchen
Private health insurance
Inclusive and open workspace

Qualifications

  • 1+ years of experience in a Data Science role.
  • Strong proficiency with Python, SQL, and machine learning techniques.

Responsibilities

  • Develop credit risk models for loan and credit card products.
  • Communicate results to stakeholders effectively.

Skills

Data Science
Python
SQL
Machine Learning
Communication Skills
Self-driven

Tools

PyData Stack

Job description

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 (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

  1. 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
  2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
  3. 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.

Our teams objectives

  • The 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.
  • 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 these objectives

  • Learn 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.
  • 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

  • 1+ years of experience in a Data Science role
  • Experience using Python and SQL
  • Strong proficiency with PyData stack
  • Knowledge of machine learning techniques and their respective pros and cons.
  • Confident communicator and contributes effectively within a team environment
  • Self driven and willing to lead on projects / new initiatives

Nice to have

  • Interest in machine learning engineering
  • Strong SQL and interest in data engineering

Interview process

  • Initial call with the Talent Acquisition Team
  • Take home task
  • Task debrief and case study interview
  • Final interviews with Exec 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, we all come together IRL 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
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