Salary Competitive
Equity To be negotiated

BackedByCFO is changing the rules of SME credit risk pricing based on payment behavior and alternative data sources. As a Co-Founder CTO, you will work closely with our B2B Customers and have a key role to execute our growth strategy. We are looking for a person with an entrepreneurial spirit, who has the passion for Python and may have utilized different API’s. You are ready to build on- and off-site teams in multi-language/cultures and understand the opportunities of the modern technologies.


Your responsibilities


To begin with, your primary responsibility is developing the algorithm, on backend code and building new API’s. We already have integration with Visma, an accounting software.  

Technical requirements

software development (C/C++/Java/Python/PHP/Scala/JavaScript

One or more released products,  two (2) years of server-side Python development experience 

Strong with backend and comfortable with front-end of web stack (Python/Django,  HTML, CSS, JavaScript)

What is seen as an advantage

understanding the opportunities of machine learning and blockchain

relevant previous work experience in a startup/scaleup

knowledge of relational databases and/or AWS

Finnish language skills


The position is open as long as we find the right person. Before that, we are working with strategic tech partner. 

Perks and benefits

This job comes with several perks and benefits

Working at
riskrate

riskrate gives a reliable 30-days cash forecast for cash people. Most small and medium-sized businesses (SMB) have a constant worry about their cash, causing stress and keeping them awake at night. Predicting daily cash is not an easy task. Outgoing payments can be manually predicted to some extent although it’s laborious. However, the predictability of incoming cash is extremely difficult, as customers don’t follow agreed payment times and their payment behavior changes all the time. riskrate predicts 30-days cash flow of any company using machine learning and utilizes a massive invoice payment database. All users share their invoice payment data which creates a strong network effect: the more users there are for riskrate, the more accurate the cashflow predictions become.

Read more about riskrate

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