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About the Role
Questrade Financial Group (QFG) is seeking a Manager, Data Science to lead the vision and technical execution of data science and marketing science for Marketing and Product. This hands-on technical leader will spearhead a unified marketing measurement strategy, design predictive growth models, establish production-grade model standards, and mentor a data science team, all while leveraging AI to transform customer experiences and empower teams.
Responsibilities
- Define and drive the data science and marketing science vision for Marketing and Product, establishing high technical standards and translating business growth priorities into a scalable modeling roadmap.
- Own the end-to-end marketing measurement framework, unifying media mix modeling (MMM), incrementality/geo testing, and multi-touch attribution into a cohesive view to guide capital allocation across brand and performance channels.
- Architect, build, and deploy high-impact predictive models—including client lifetime value (LTV), cross-sell/upsell propensity, and churn/retention—directly embedding them into day-to-day product and marketing operations.
- Hold all data science products to strict production criteria: ensuring business value is sized upfront, models are systematically validated against holdouts or baseline controls, and pipelines run reliably in production environments.
- Maintain an active hands-on engineering presence by writing, debugging, and reviewing production Python, SQL, and dbt models (on BigQuery, Databricks, or Snowflake), while utilizing AI coding agents to accelerate delivery with rigorous validation.
- Direct and govern external measurement partners, data vendors, and agency relationships—critically evaluating and pressure-testing their statistical methods, assumptions, and deliverables to ensure integrity.
- Lead, mentor, and develop a high-performing team of data scientists; act as the organization's subject matter expert on causal inference, experimentation design, and statistical rigor for adjacent analysts and cross-functional partners.
- Comfortable using AI tools in day-to-day modeling and coding work, with the judgment to validate their output.
Requirements
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Quantitative Marketing, or equivalent practical experience.
- 7+ years of progressive experience in data science, marketing science, or advanced analytics, with a proven track record of models directly influencing marketing investments or product growth.
- Deep practical expertise in media mix modeling (MMM), incrementality testing, geo-testing, multi-touch attribution, causal inference, and client lifetime value (LTV) / propensity modeling.
- Advanced proficiency in Python for building production machine learning and statistical models; strong SQL and dbt expertise on cloud data warehouses (BigQuery, Databricks, or Snowflake).
- Demonstrated experience directing external measurement agencies, vendors, or consulting partners, with the ability to critically pressure-test statistical methodologies.
- Proven track record of leading, mentoring, and developing data scientists while remaining actively hands-on with modeling and code.
- Master’s or Ph.D. in a quantitative discipline (e.g., Statistics, Econometrics, Machine Learning, Applied Mathematics).
- Regular hands-on experience utilizing modern AI coding agents (such as Claude Code) to accelerate model development, coupled with rigorous validation of AI outputs.
- Experience building a marketing science or data science practice from scratch in a fast-paced or greenfield environment.
- Prior experience in fintech, digital banking, online brokerage, or regulated customer data environments.
Skills
- Data Science
- Marketing Science
- Advanced Analytics
- Media Mix Modeling (MMM)
- Incrementality Testing
- Geo-testing
- Multi-touch Attribution
- Causal Inference
- Client Lifetime Value (LTV) Modeling
- Propensity Modeling
- Python
- SQL
- dbt
- BigQuery
- Databricks
- Snowflake
- AI Coding Agents
- Statistical Methods
- Experimentation Design
Location
- Hybrid
Work Type
- Hybrid
- Full-Time Permanent
Experience Level
- 7+ years of progressive experience
- Manager
Education Level
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Quantitative Marketing, or equivalent practical experience.
- Master’s or Ph.D. in a quantitative discipline (e.g., Statistics, Econometrics, Machine Learning, Applied Mathematics).
Salary/Compensations
- $140,000 - $180,000
Benefits
- Health & wellbeing resources and programs
- Paid vacation, personal, and sick days
- Competitive compensation and benefits packages
- Competitive incentive (bonus) program
About the Company
- Questrade Financial Group (QFG) provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more through its companies: Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti.
- We use cutting-edge technology to help Canadians become much more financially successful and secure.
- At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services.
- Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits.
- Questrade Financial Group of Companies, with multiple office locations around the world, is committed to fostering a diverse, inclusive and accessible work environment.
- Our team reflects the diversity of the communities we serve and operate in.
- Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence—not only for the benefit of our customers, but for those who build their career with us.
- Questrade Financial Group of companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening.
Equal Opportunity
- We are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect.
- Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.