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- Full-time
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Questrade Financial Group

Manager, Data Science

Toronto, ON, Canada

Base salary range: $140,000 - $180,000

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Job details

Pay: Base salary range: $140,000 - $180,000
Posting language: English
Posted: Nov 5, 2026

Original job description

Questrade Financial Group (QFG), through its companies - Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more. 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. The ideal candidate will be a catalyst for change, using AI to transform and deliver unparalleled customer experiences and shaping a future where AI empowers our teams to do their best work.

Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits. If you share this sense of infinite possibility, come shape your future at QFG.

What’s in it for you as an employee of QFG?

Health & wellbeing resources and programs
Paid vacation, personal, and sick days for work-life balance
Competitive compensation and benefits packages
Work-life balance in a hybrid environment with at least 3 days in office
Career growth and development opportunities
Opportunities to contribute to community causes
Work with diverse team members in an inclusive and collaborative environment

This job posting is for an existing vacancy.

We’re looking for our next Manager, Data Science. Could It Be You?

This role will be responsible for:

The Manager, Data Science leads the vision and technical execution of data science and marketing science across Marketing and Product at Questrade. Operating as a hands-on technical leader, this role spearheads our unified marketing measurement strategy - combining media mix modeling (MMM), incrementality testing, and attribution to determine the commercial impact of brand and performance investments. The Manager designs predictive growth models (such as client lifetime value, propensity, and retention) that directly inform daily business operations, establishes production-grade model standards, and mentors a high-performing data science team while actively writing and reviewing code.

Need more details? Keep reading…

In this role, responsibilities include but are not limited to:

Data Science Vision & Strategic Roadmap: 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.
Comprehensive Marketing Measurement Strategy: 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.
Client Growth & Predictive Lifecycle Modeling: 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.
Rigorous Model Governance & Production Standards: 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.
Hands-On Engineering & AI Workflow Adoption: 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.
External Agency & Measurement Vendor Governance: 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.
Team Leadership & Statistical Authority: 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.

So are YOU our next Manager, Data Science? You are if you have…

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.

Additional kudos if you…

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.

Compensation Information:

Base salary range: $140,000 - $180,000
The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.

Sounds like you? Click below to apply!

At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment. This is an environment where individuals are treated with dignity and respect. Here, the unique skills and experience you bring will be valued. You will be supported and motivated, so that you can harness your unlimited potential. 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. The AI system operates on predetermined criteria, with final decisions subject to human review.

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.

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More about this job

Responsibilities

The Manager, Data Science leads the vision and technical execution of data science and marketing science across Marketing and Product. This role involves architecting predictive growth models, managing marketing measurement strategies, and mentoring a high-performing team while remaining hands-on with code.

Requirements

Candidates must have a bachelor's degree in a quantitative field and at least 7 years of progressive experience in data science or advanced analytics. Proficiency in Python, SQL, and dbt, along with deep expertise in marketing measurement and predictive modeling, is required.

Skills

Data Science
Marketing Science
Media Mix Modeling
Incrementality Testing
Attribution
Predictive Modeling
Python
SQL
Dbt
BigQuery
Databricks
Snowflake
Causal Inference
Team Leadership
Statistical Modeling
AI Coding Agents

Benefits

Health and wellbeing resources
Paid vacation
Personal days
Sick days
Competitive compensation
Benefits packages
Career growth and development opportunities
Community causes contribution

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Marketing Science
Media Mix Modeling
Incrementality Testing
Attribution
Predictive Modeling
Python
SQL
Dbt
BigQuery
Databricks
Snowflake
Causal Inference
Machine Learning
Fintech
Customer Lifetime Value
Propensity Modeling
Churn Analysis
Retention
AI Coding Agents
Model Governance
Statistical Rigor
Data Engineering
Cloud Data Warehouses
Product Growth
Marketing Analytics
Leadership
Mentorship
Quantitative Marketing
Econometrics

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