Full stack developer with a passion for Fintech

Salary Competitive
Equity To be negotiated

BackedByCFO is changing the rules of SME credit risk analytics based on payment behavior and alternative data sources. As a full stack developer, you work closely with our experienced team and will have a key role to execute our growth strategy. We are looking for a personality, who has the passion for Python and may have utilized different API’s. We highly appreciate your humor, entrepreneurial spirit, an enthusiasm for fintech & understand the opportunities of the modern technologies.


Your responsibilities



Your primary responsibility is further to develop the algorithm, on backend code and building new API’s. We already have integration with Visma, payment software.  


Technical requirements

- 3-5 years software development (C/C++/Java/Python/PHP/Scala/JavaScript

-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 

-relevant previous work experience in a startup/scaleup

-knowledge of relational databases and/or AWS


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


For more information:

Päivi Kangasmäki, Founder + 358 50 367 0261

paivi@backedbycfo.com

You can contact us by Telegram, Whatsapp, Linkedin, email, phone call or SMS.  

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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