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Data Scientist

Mogo (TSX: MOGO), a Vancouver-based technology company, is changing the way Canadians approach finances through a uniquely digital experience and innovative products designed to help consumers get in control of their financial health. Users can sign up for a free MogoAccount on their mobile devices in only three minutes and get access to free credit score monitoring, a free spending account, mortgages, and personal loans. With more than 400,000 members and growing, Mogo is leading the shift to digital banking in Canada. To learn more, visit or download the mobile app.

Mogo is looking for a Data Scientist to be a key member of Mogo’s senior analytics think tank; responsible for the architecture, integration and analysis of both traditional and non-traditional data sources used for model building & machine learning. Check out the list of qualifications below and if this sounds like you, send us your resume - we want to hear from you!



  • Model development across the following departments – Credit, Fraud, Collections & Marketing
  • Employ machine learning, Neural Networks, Random Forests & other best in class modelling techniques to impact business bottom line across multiple departments
  • Integrate non-traditional data with traditional financial data to build on 1 of Mogo’s core competencies of being a data driven, technology company
  • Provide risk oversight across functions including creation & maintenance of regulatory capital PD/LGC/CF models as dictated by IFRS9
  • Effectively communicate complex and technical analyses to senior management with the opportunity to help drive business strategy & roadmap in this high impact role
  • Act as thought leader in the area of data/analytics/technology & champion the latest cutting edge techniques to keep Mogo at the forefront of the fast paced FinTech world 



  • Science Degree (BS or MS)
  • Experience prototyping & developing models in some/all of the following : SQL / Hadoop / Spark / R / Python or similar technologies
  • World class coding, modelling and analytical skills combined with strong work ethic & desire to make a difference
  • Prior experience with big data, machine learning algorithms & other predictive analytics tools
  • Object orientated programming experience a plus (Java, C++ etc)
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