Our client: General Bank of Canada
The Wheaton Group is comprised of numerous businesses that span the financial and automotive sectors. This includes a Schedule-1 bank (“General Bank of Canada”), two insurance companies (“Millennium Insurance Corporation” and “First Canadian Insurance Corporation”), an institutional investment manager (“FreeThink Capital”), and over a dozen car dealerships. The Wheaton Group conducts business across Canada, invests globally, and serves over 500,000 customers every year. It’s a vibrant business that is constantly searching for ways to innovate and grow.
This exciting new role is being added to drive innovation and process improvement across the Wheaton Group of Companies. We are looking for a data scientist who can identify, research, and implement opportunities for improvement using systematic quantitative insights. The objective for this role is not to “tweak at the margins”, rather, to identify and tackle high-impact changes to core business strategy.
What you will be doing:
Researching the automation of the bank’s loan adjudication process using proprietary data sets to help make better and faster decisions.
Investigating additional business innovation opportunities across the Wheaton group of companies
Bridging analysis and real-world business decisions
Working alongside an innovative and entrepreneurial team to help business leaders make data-driven decisions
What you bring to the table:
Several years of experience in a data science role
An undergraduate or graduate degree in data science, statistics, mathematics or related field
Experience conducting large scale statistical analyses using industry-standard tools (R/Python/Stata/MATLAB/SQL/etc.)
Can structure meaningful evaluations of whether, and to what degree, data science can improve business decisions relative to the status quo.
Ability to navigate the messiness of real-world data
Independent and entrepreneurial, but effective at collaborating across all organizational levels as needed
Ability to communicate technical concepts and analyses to non-technical audiences
What an ideal candidate would also bring:
Experience implementing machine learning-based solutions
Competency in data pipeline structuring
Previous work experience in the finance or insurance industry
What you get in return
Career opportunity with a stable, growing, and entrepreneurial company
Professional development support and mentoring offered
Competitive compensation, benefits and RRSP
Convenient downtown location with an onsite gym and rooftop patio
This is an immediate opening and cover letters are not required