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Lead Data Scientist – Loans
Remote / Online - Candidates ideally in
London, Greater London, W1B, England, UK
Listed on 2026-09-03
London, Greater London, W1B, England, UK
Listing for:
Quant Capital
Remote/Work from Home
position Listed on 2026-09-03
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer -
Finance & Banking
Data Scientist
Job Description & How to Apply Below
120,000 Plus 10% Bonus Remote Working 2 days per month in the office
This role is within Sub Prime Fintech Quant Capital is urgently looking for a Lead Data Scientist to join our high profile client.
My Client is a well known global (yet not too corporate) retail and institutional credit business. Circa 500,000 single data points per month.
This role is with an exciting business in the consumer lending space. They have grown significantly over the past few years and are looking to add a motivated and experienced individual to lead their growing data science function.
This role offers the chance to work end-to-end across a range of credit models in the business and take on a challenging role which will give you excellent exposure and experience in the credit modelling space.
There is significant scope within the role to shape and build the data environment requirements. There are very limited restrictions on tools or resources to drive the data function forward.
Day to day the Lead Data Scientist will:
Review all of the firms data in order to create new models through; customer attraction, retention, evaluation and failure rate.
Asses and build new customer models outside of the credit modelling area.
Monitor existing underwriting models and credit scorecards which are in production and regularly report on their impact to performance of the credit book.
Augment existing models/scorecards to suit changing business requirements.
Support with existing stored procedures (MSSQL) and build new as required.
Lead Data Scientists should have:
Strong MSSQLPower BISASExperience with in Financial services, ideally retail finance
Able to converse clearly and concisely in English (verbally and written)
AI Tooling The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
The culture of the firm is startup esc with a flat team structure and a great group of guys who all enjoy themselves.
My client is based in West London 2 days per month in the office maximum
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