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Lead Data Scientist

It is super hard to navigate around financial institutions, this is where Brokerchooser helps. We listen to customers, see what they want and based on their preferences we recommend a solution on where to invest.  If you want to join a company where you can have a direct and immediate impact on the product then its your time and team! As Lead Data Scientist, you have a good understanding of machine learning. You are not lost in a random forest, you can shake hand with a multi-armed bandit, and are happy to detect anomalies in Python or R because you have the skills.

Ideal candidate:

analytical thinker, open minded, communicative, partner, risk takes, believer, full-fledged, devoted, passionate

Experience: 

  • 3+  years as a data scientist/modeler, preferred in finance and or the online marketing sector

  • Experience in machine learning, statistics, and programming

Tasks:

  • Improve the broker recommendation tool with machine learning

  • Analyse customer data and improve conversion

Technology, tools:

Python, R, Machine Learning, Matlab, SQL

More on what we do:

Brokerchooser is the first fintech start-up company who helps people navigating globally in the financial market and see where they can invest. The borderless scope enables one from Lithuania to check whether an American or a German broker has better conditions to open an account. Brokerchooser aims to make the process as transparent and flawless as possible. An essential part of transparency is the independent tech focusing evaluation checking over 100 data points the different aspects of the reviewed brokers. Technology and 10years + finance experience create a unique combination and scarce source of unbiased guidance.

It's unique because:

data based, customer-reviewed, independent, cutting edge technology, borderless

 

How to apply

Please browse this section. Based on your view, how do you think the recommendation works? If you wanted to employ machine learning, and optimize the recommendations based on which broker the users actually select, how would you do it? Summarize your thoughts and send it to us. If you think this is fun, you could be a good fit. Send your CV or resume too.


 

Lead Data Scientist at Brokerchooser