Lead Data Scientist

4 weeks ago

London, United Kingdom Rise Technical Full time

Lead Data Scientist (Crypto)

UK - Remote

£100,000 to £150,000 + Company Equity + Fully Remote


Excellent opportunity for a Lead Data Scientist with experience in crypto to join a fast-growing Fintech that has recently gained Series A funding, to lead the backend development and systems across the organisation.


This company are a B2B Fintech company specialising in crypto cross-border payments. Established four years ago, they already have partnerships with massive financial institutions worldwide that believe they will revolutionise cross-border payments as we know it


In this varied role, you will be joining as a founding lead Data Scientist, owning all data science-related efforts across the organisation. This will involve designing, building and fully optimising their risk assessments and management products. Within the role, you will work closely with the product, finance and engineering teams to identify problems, challenges and opportunities using data science efforts to address these.


The ideal candidate will have good experience working within a company doing crypto-specific quantitative analysis & statistical modelling. They will come with deep data science knowledge, skills and tech stack to ultimately recommend and shape their future data science team. They will also have demonstrated experience with ML models in crypto trading applications and managerial experience.


This is a fantastic opportunity to cement and integrate yourself within a well-funded and exciting cross-payment cryptocurrency start-up before they enter the scale-up phase and become giants in the industry.


The Role:

*Own all data science-related efforts

*Design, build and optimise rise assessments and management products

*Crypto related statistics/analysis

*Work closely with product, finance and engineering teams


The Person:

*4+ Years of quantitative trading or data science experience within a crypto exchange

*Crypto-specific quantitative analysis

*Experience with ML models in crypto trading applications

*Managerial experience

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