Data Scientist (Risk) London, England
Job description
Stenn is one of the leading FinTechs in Europe and a category leader in the verticals and markets it operates in. Founded in 2015, Stenn's purpose is to connect international SMEs to the global financial system, helping to bridge a reported $3.6 trillion (USD) financing gap through a fast, simple online platform. To date, Stenn has enabled over $10 billion (USD) of finance to SMEs in 3 verticals and 4 markets, with capital provided by several blue-chip banks and institutional fund managers across the globe.
Rapid expansion continues at Stenn, as under-served SMEs seek financing solutions to manage significant macroeconomic and supply chain disruption; and this follows our $50 million Series A fundraise earlier this year, valuing Stenn at $900 million.
Our HQ is in London with employees across the globe, including the USA, Europe and China. We are made up of diverse, highly skilled professionals who work in an innovative way to develop and drive our business further. Our people are empowered to work autonomously through a trusting leadership style which encourages learning.
We are building out a world class data team within our Risk division and it's the opportunity to join a team as we embark on an incredible 3 year scale up. These are newly created roles, working with great leadership and a chance to have a real and tangible impact on our business.
You probably want to know what's involved?
Stenn is democratizing access to capital for SMEs and companies in emerging markets. You're getting in at the ground floor of the newly created Decision Science team to help shape Stenn's financial products in fundamental ways. There is a lot of buy-in from Management, because they believe innovative and impactful machine learning solutions are required to drive Stenn's growth to new heights. In more detail:
- You will develop roadmaps for areas of work, scope related projects, and drive execution primarily through individual contribution and also by drawing on other team members
- Besides ML, you will determine the best tools to use for each problem, whether it requires heuristic rules, inferential techniques, or advanced machine learning
How will we measure success in this role?
- Success will be measured in terms of your contribution to a highly performant model-driven risk management architecture.
- Impact on Business Results: the ability to deliver high-impact solutions that drive business growth and profitability.
- Technical Excellence: technical excellence in data science (in particular analytical ability, statistical rigor) and the ability to deliver high-quality code
How do you know if you are the right candidate?
- You consider yourself a generalist, full-stack data scientist who is comfortable and excited about working in a small team
- You have experience in a commercial data science setting (fintech, e-commerce, etc.)
- You can seamlessly collaborate with teams across engineering, product, and business functions
- You communicate very well with both technical and nontechnical partners.
- You are well-versed in Python and SQL
- You have prior experience in a commercial data science setting (fintech, e-commerce, etc.)
We appreciate the support agencies can provide, however our in-house team do not require any assistance at this time.
