Wealthsimple Technologies

Senior Data Scientist, Fraud

Location

Remote (Canada)

Workplace

Remote

Type

Full Time

Salary

CAD 151,200 – 189,000

Level

Senior

Role

Data Scientist

Posted

Feb 10, 2026

Full TimeRemoteSenior

The role

Summary

Wealthsimple is seeking a Senior Data Scientist for its Fraud team, focusing on developing sophisticated machine learning models to balance fraud risk and client experience in a fast-paced fintech environment. The ideal candidate will blend advanced analytical skills with product insights to drive data-driven decision making and enhance financial security.

What you'll do

Fraud Detection Modeling: Develop and deploy advanced machine learning models to identify and prevent fraudulent activities
Product Strategy: Collaborate with product managers to define success metrics and execute data-driven product strategies
Experimental Analysis: Design, implement, and analyze experiments for new product features and fraud prevention techniques
Trend Monitoring: Monitor and report on fraud trends and client experience gaps to inform strategic decisions
Cross-Functional Collaboration: Work closely with product, engineering, and fraud strategy teams to enhance fraud prevention capabilities

What we look for

Technical

Machine LearningAdvanced skills in building machine learning models for fraud detection
ProgrammingProficiency in Python and SQL for data analysis and modeling
Data PipelineExperience with end-to-end machine learning pipeline development

Education

Advanced DegreeMaster's or PhD in Computer Science, Statistics, Mathematics, or related quantitative field preferred
Analytical DegreeStrong academic background in data science, operations research, or similar analytical discipline

Experience

Senior Data ScienceProven track record of 5+ years in senior data science roles, preferably in fraud or risk analytics
Machine Learning ExperienceDemonstrated experience in developing production-ready machine learning models

Skills

Required skills

Product AnalyticsAbility to conduct in-depth product analytics and derive actionable insights
Machine LearningExperience in developing and deploying end-to-end machine learning pipelines
PythonStrong programming skills in Python for data science and machine learning
SQLProficient in writing complex SQL queries for data analysis
Experimental DesignCapability to design and analyze statistical experiments for product features
Data CommunicationSkill in translating complex data findings to non-technical stakeholders

Nice to have

Fraud Domain KnowledgePrevious experience working specifically in fraud detection and prevention
Decision ScienceUnderstanding of causal inference and decision-making frameworks
Financial TechnologyBackground in fintech or financial services analytics

Compensation & benefits

Salary

CAD 151,200 – 189,000 (annual)

Stock options

Available

Benefits

Health Benefits

Comprehensive top-tier health insurance and life insurance coverage

Retirement Savings

Long-term group savings plan with employer match through Wealthsimple for Business

Time Off

20 vacation days, 4 wellness days, and unlimited sick and mental health days annually

Work Flexibility

Remote work option and ability to work outside Canada for up to 90 days per year

Equity

Stock options or equity compensation as part of total rewards package

Diversity & Inclusion

Employee resource groups and commitment to a diverse, inclusive workplace


Interview process

  1. 1
    Initial Screening Phone or video call with recruiting team to assess basic qualifications
  2. 2
    Technical Assessment Take-home data science challenge focused on fraud detection modeling
  3. 3
    Technical Interview In-depth technical discussion about machine learning approaches, past projects, and problem-solving skills
  4. 4
    Stakeholder Interview Meetings with product managers and team leads to evaluate collaboration and communication skills
  5. 5
    Final Interview Discussion with senior leadership about vision, approach, and cultural fit

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