Senior Data Scientist, Lendable
Offers equity
More information about location
3 days a week in office
Fintech Unicorn - Lending Platform
Open for applications
Fintech Unicorn - Lending Platform
201-500 employees
Open for applications
Offers equity
More information about location
3 days a week in office
201-500 employees
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
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.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Employee endorsements
Challenging work
"At Lendable I'm in a position to make decisions and engineer solutions on a product that's worth billions and growing all of the time. This brings..."
Funding (last 2 of 3 rounds)
Mar 2022
$271.9m
GROWTH EQUITY VC
Sep 2017
$6.5m
SERIES A
Total funding: $281.6m
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
Company HQ
London, UK
Articles
Leadership
Martin Kissinger
(Co-Founder & CEO)Studied Economics as an undergraduate at LSE before doing an MPhil at Oxford University. Worked as an Entrepreneur in Residence at Rocket in Berlin.
Paul Pamment
(Co-Founder)Studied Mathematics at Oxford University before taking up technical roles at a handful of startups.
Jakob Schwarz
(Co-Founder)Worked as an Analyst at Goldman Sachs and then BCG before founding Lendable.
Victoria van Lennep
(Co-Founder)Worked as the Deputy Editor at the Economist before joining Martin Kissinger to co-found Lendable!
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