Principal Data Scientist (Regina)

Portfolio Management Expertise in big‑data analytics for the financial industry is required. Provide informal leadership to an experienced team searching for problems to solve and opportunities to capitalize on within huge and diverse datasets. What you’ll do Lead and mentor data teams to find problems, and solve and capitalize on opportunities within huge and diverse datasets. Unlock insights from the most complex and diverse groupings of internal and external data, and tell a story with the data that enables enlightened decision making at all levels of the organization. Use advanced big data, predictive analytics, and machine learning tools to find ways to solve complex data problems and improve FCC through data. What we’re looking for - Enterprise‑wide thinker who can combine rare and deep business domain knowledge with deep knowledge of complex statistical and mathematical concepts. - Confident communicator able to translate knowledge for others. - Expert in statistics and mathematics. - Relationship‑builder comfortable making recommendations to senior leaders. - Proven mentor who works well within a high‑performing team. What you’ll need - A master’s degree in one of the noted domains and at least eight years of experience (or an equivalent combination of education and experience). - Expert knowledge of risk management and finance areas such as credit risk, allowance for credit losses, economic capital, and stress testing. - Demonstrated ability to work with huge data sets and use sophisticated big‑data and machine‑learning techniques and technologies. - Mastery of one or more predictive and descriptive analytics tools and techniques. Apply on Kit Job: kitjob.ca/job/2pnbei