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WG
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- Full-time
Responsible for delivery of assigned projects through the entire SDLC on a committed timeline.
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…framework of hospital guidelines, protocols, and the unit's care delivery approach, the CCA executes tasks under the supervision of the Registered Nurse, ensuring patients' well-being and…
Added 15 mins ago
QF
Manager, Data Science
Questrade Financial Group
Toronto, ON
- Full-time
We’re looking for our next Manager, Data Science
Added 31 mins ago
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Questrade Financial Group

Manager, Data Science

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 13, 2026
Work location: A hybrid environment, with at least three days in the office built for working together
Posting language: English
Posted: Nov 13, 2026

Original job description

Questrade is on a mission to help Canadians to become much more financially successful and secure.

For nearly 30 years, Questrade Financial Group has been delivering on that mission through investing, banking, mortgages, and real estate. Together, we tilt finance in favour of ambitious Canadians, creating new ways for them to seize the financial future they deserve.

We're looking for people who are ready to enter their career inflection point. Mission-driven, exceptional folks that never settle. The work here is hard because the responsibility is real. If that's the standard you've been looking for, keep reading.

The return on your career investment

Compensation and incentives built to reward the value you bring.
RRSP matching of up to 6%.
Health and wellness resources and programs, including $5,000 in mental health practitioner coverage.
$5,000 in tuition subsidies for job-related courses, every year.
100% parental top-up, up to 26 weeks for birthing parents and 18 weeks for non-birthing parents.
A hybrid environment, with at least three days in the office built for working together.
Paid vacation, personal, and sick days.
A community care day to give back to the causes you care about.

This job posting is for an existing vacancy.

We’re looking for our next Manager, Data Science

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.

The mandate

In This Role, You Will

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.

You’re ready for this mandate if you have the following qualifications

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.

Nice to have

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.

Enter your career inflection point. Apply now.

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.

Base salary range

$140,000 - $180,000 CAD

Technology and AI

We mix human ingenuity with advanced technology. For ambitious builders like you, we provide the latest technology to enable your creativity. You'll have everything you need to build the best outcomes and products for our clients.

Diversity and Inclusion

At Questrade Financial Group of Companies, we’re committed to fostering a diverse, inclusive, and accessible work environment where individuals are treated with dignity and respect. Our global team reflects the diversity of the communities we serve and operate in.

Accessibility statement

Candidates selected for an interview are contacted directly. If you require accommodation during the recruitment or selection process, please let us know. We will work with you to meet your needs.

AI in hiring

Questrade Financial Group of companies Applicant Tracking System uses artificial intelligence (AI) for application screening. The AI system operates on predetermined criteria, with final decisions subject to human review.

Apply on LinkedIn About employer

More about this job

Responsibilities

Lead the data science and marketing science strategy for Marketing and Product, including unified marketing measurement and predictive models for client growth and retention. Set production and model governance standards, remain hands-on with Python, SQL, and dbt development, oversee external measurement partners, and mentor the data science team.

Requirements

Requires a bachelor's degree in a quantitative or related discipline, or equivalent practical experience, and at least seven years of progressive experience in data science, marketing science, or advanced analytics. Candidates need expertise in marketing measurement, causal inference, predictive modeling, Python, SQL, and dbt, along with experience leading data scientists and evaluating external measurement partners.

Skills

Data Science Leadership
Marketing Science
Media Mix Modeling
Incrementality Testing
Geo-Testing
Multi-Touch Attribution
Causal Inference
Client Lifetime Value Modeling
Propensity Modeling
Churn And Retention Modeling
Python
SQL
dbt
Machine Learning
Experimentation Design
AI Coding Agents

Benefits

RRSP Matching
Health And Wellness Resources
Mental Health Coverage
Tuition Subsidy
Parental Leave Top-Up
Paid Vacation
Personal Days
Sick Days
Community Care Day
Incentive Bonus Program

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Marketing Science
Media Mix Modeling
Incrementality Testing
Geo-Testing
Multi-Touch Attribution
Causal Inference
Client Lifetime Value
Propensity Modeling
Churn Modeling
Retention Modeling
Python
SQL
dbt
BigQuery
Databricks
Snowflake
Machine Learning
Predictive Modeling
Experimentation Design
Holdout Testing
Model Governance
Production Pipelines
AI Coding Agents
Marketing Measurement
Financial Services
Fintech
Digital Banking
Online Brokerage

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Jobs in Canada