Senior Data Scientist, Lendable

Salary not provided

Offers equity

SQL
Senior and Expert level
London

More information about location

3 days a week in office

Lendable

Fintech Unicorn - Lending Platform

Open for applications

Lendable

Fintech Unicorn - Lending Platform

201-500 employees

FintechB2CMarketplacePersonal financeLendingCustomer service

Open for applications

Salary not provided

Offers equity

SQL
Senior and Expert level
London

More information about location

3 days a week in office

201-500 employees

FintechB2CMarketplacePersonal financeLendingCustomer service

Company mission

To make consumer finance amazing: faster, cheaper and friendlier.

Role

Who you are

  • Experience using PythonKnowledge of the credit industry, including the products, data, typical ML applicationsKnowledge 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

Desirable

  • Interest in machine learning engineeringStrong SQL and interest in data engineering
  • We’re not corporate, so we try our best to get things moving as quickly as possible

What the job involves

  • The data science team develops proprietary risk models which are core to the company’s success
  • We 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
  • 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

Application process

  • Initial call with TA Team
  • Take home task
  • Task debrief interview
  • Case study interview
  • Final interviews; Meet the team you’ll work with daily, meet Head of Data Science and Chief Risk Officer

Salary benchmarks

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Insights

Top investors

40% female employees

72% employee growth in 12 months

Company

Company benefits

  • Cycle to Work scheme
  • Onsite Yoga
  • Lunch cooked by onsite chefs 3 times a week
  • 25 days holiday (excl. bank holidays)
  • Work from home opportunities on Monday and Friday
  • Private Health Insurance (inclusive of dental and pre-existing conditions)
  • Share Options for all Employees
  • Regular team and company wide socials
  • Pension

Funding (last 2 of 3 rounds)

Mar 2022

$276.4m

GROWTH EQUITY VC

Sep 2017

$6.5m

SERIES A

Total funding: $286.2m

Our take

Lendable competes with banks, other lenders, and consumer finance companies to provide loans, credit cards and car financing to consumers. Streamlining the loan application process, the company cuts personalised rates and fund transfers from days to minutes.

Lendable believes it can win in this crowded field due to its market-best customer service and strong financials. Part of its success is due to its funding coming from institutional investors. Lendable originates and services its loans on behalf of institutional investors, but doesn't hold them on its own balance sheet.

Growing insolvencies will worry all lending platforms, but Lendable looks well-placed to weather any credit storm given its substantial debt financing. In 2023, it launched two new products in the US, signifying its growth.

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Steph

Company Specialist at Welcome to the Jungle