Data Scientist – FintechUp to 130,000 Plus 10% BonusRemote Working 2 days per month in the officeQuant Capital is urgently looking for a Data Scientist to join our high profile client. My Client is a well known global (yet not too corporate) financial software (fintech) business that has developed a unique proprietary front office lending solution.
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.
Day to Day the Lead Data Scientist will: Build a new Data WarehouseBuild out a new set of credit modelWork across the current range of credit models within the businessDevelop challenger models to improve and enhance the modelling suiteMonitor and report on these models, taking oversight across the modelling processLead Data Scientists should have:5 years of Data Science experienceData scientist with real hands-on experienceMust have worked in the financial sectorExperience creating models/scorecards which are used in production is requiredStrong SQLStrong skills in Python or RStrong understanding of data warehousingAI ToolingThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
My client is based in West London 2 days per month in the office maximum
Hiring: Data Scientist Python - Remote in London employer: Quant Capital
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment that mirrors the culture of leading tech giants like Facebook and Google. Our London office fosters a collaborative atmosphere where employees are encouraged to think critically and make impactful decisions, while also providing ample opportunities for professional growth and mastery of cutting-edge technology in the trading operations space. With a focus on employee well-being and a commitment to excellence, we ensure that our team members are equipped with the tools and support they need to thrive in their roles.
