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Toronto, Ontario, Canada
Onsite
About Capital One Canada.
For 30 years, we’ve been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. We want to help Canadians succeed with credit, because we believe in people — in our customers, in our associates, and in talent like you!
Your Responsibilities:
Partner with a cross-functional team of data practitioners, software engineers, and product managers to manage the risk and uncertainty inherent in statistical models in order to lead Capital One to the best decisions, not just avoid the worst ones.
Leverage a broad stack of technologies — Python, AWS, agentic AI, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Lead the architecture and development of machine learning models through all phases of development, from design through training, evaluation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities
Manage and develop talent to drive a highly performant and engaged team
Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow
Basic Qualifications:
Bachelor’s Degree plus 9 years of experience in data analytics, or Master’s Degree plus 7 years of experience in data analytics, or PhD plus 5 years of experience in data analytics
At least 4 years of experience in open source programming languages for large scale data analysis
At least 4 years of experience with machine learning
At least 4 years of experience with relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
At least 5 years’ experience working with or developing data science/machine learning solutions
At least 1 year of experience working with AWS
At least 3 years of experience managing people
At least 5 years of experience in Python, Scala, or R for large scale data analysis
Working at Capital One.
Enjoy a hybrid work environment, with 3 days in the office. Build a comfortable workspace with our one-time, Work From Home allowance and enjoy our head office located conveniently across the street from Union Station.
Live well—physically, financially and emotionally. Receive support for you and those who are most important to you, with full coverage for spouses, domestic partners, and dependents. With up to $3000 in mental health coverage and up to $5000 in tuition subsidies per year—and much more—you’ll discover that Capital One is committed to helping you live your best life.
This posting is for an existing vacancy.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non discretionary depending on the plan.
We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.
We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.
Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).