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Added 4 mins ago
P&
Systems Analyst
Parrish & Heimbecker, Limited
Cambridge, ON
- Full-time
Translate business requirements into functional specifications, use cases, or user stories
Added 4 mins ago
PC
Finance Managed Services Senior Associate
PwC Canada
Calgary, AB
- Full-time
Entrepreneurial & Private Business (EPB) - General
Added 4 mins ago
NB
Senior Director AI and Operations Engineering
National Bank of Canada
Montreal, QC
- Full-time
Required skills: Artificial Intelligence, Business Alignment, Communication, Critical Thinking, Decision Making, Emotional Intelligence, Innovation Management, Managerial Courage,…
Added 4 mins ago
NB
Technical Advisor
National Bank of Canada
Montreal, QC
- Full-time
Identify problems, meet with stakeholders, and seek and propose appropriate solutions that meet the Bank's and subsidiaries' business objectives while protecting their interests.
Added 5 mins ago
SL
Student, Quality Engineering Analyst (Winter 2027)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Currently enrolled in a post-secondary program in Computer Science, Software Engineering, Data Science, Data Analytics, Information Systems, Business Technology Management, or a related…
Added 5 mins ago
D
Advisor, Management information
Desjardins
Levis, QC · Montreal, QC
- Full-time
…your analytical skills and extensive knowledge of the line of business. You interact with stakeholders working in other fields. Interpersonal savvy is therefore essential. More…
Added 5 mins ago
C
Associate Business Systems Analyst, Fraud Operations
CIBC
Toronto, ON
- Full-time
You’ll join CIBC’s Fraud Operations team. As an Associate Business System Analyst, you will be responsible for investigating account transactions in order to determine possible fraud or…
Added 5 mins ago
C
Senior AI Scientist
CIBC
Toronto, ON
- Full-time
The Enterprise Advanced Analytics and Artificial Intelligence team is CIBC’s center of excellence for artificial intelligence, machine learning, and natural language processing. We lead the…
Added 5 mins ago
C
People Change Management & Communications Co-op
CIBC
Toronto, ON
- Full-time
Leadership - Work with sponsors/leads, business and technology partners, and project team members to manage change initiatives. Support change activities by adhering to CIBC delivery…
Added 20 mins ago
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(CAN) Merchant (CA)
Walmart
Mississauga, ON
- Full-time
Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and shaping the team’s strategy.
Added 20 mins ago
NA
Director, Employee and Labour Relations
Northern Alberta Institute of Technology
St. Catharines, ON · Main Campus
- Full-time
Strong strategic thinking, sound judgment, resilience, emotional intelligence, and political acuity.
Added 20 mins ago
IF
Scrum Master
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Experience in analytics, data engineering, artificial intelligence, or automation, as well as a Scrum Master certification (PSM, CSM, or equivalent) or knowledge of SAFe, is considered an…
Added 20 mins ago
M
Chef de l’engagement du client / Customer Engagement Manager
Merck
Kirkland, QC
- Full-time
Curiosité et enthousiasme pour les technologies émergentes, y compris l’intelligence artificielle
Added 35 mins ago
P&
Business Analyst
Parrish & Heimbecker, Limited
Winnipeg, MB
- Full-time
We are seeking a Business Analyst to join our corporate team. This role is responsible for working with subject matter experts to illicit and document requirements aimed at improving…
Added 35 mins ago
JT
Senior Data Engineer
Javelin Technologies
Canada
- Full-time
…the group's data ecosystem: integrating data from our core business systems, developing robust pipelines, establishing quality and governance standards, and delivering the advanced…
Added 35 mins ago
EB
Intern - Strategic Sourcing & Third-Party Management , Winter 2027
EQ Bank
Toronto, ON
- Full-time
…Management, Third-Party Risk Management, Vendor Governance, Business Process Improvement, Data Analytics, and the practical application of Artificial Intelligence within a regulated…
Added 35 mins ago
MP
U SPORTS Winter Intern
M2 Partners
Toronto, ON
- Full-time
…people, process, data, technology, and AI to drive measurable business outcomes, with core solution areas in marketing automation, data management, insights and analytics, and content and…
Added 35 mins ago
VR
Director, Corporate Partnerships
Vancouver Rise FC
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Oversee the department’s budget, cost of sales, and business analytics to ensure efficient acquisition and accurate revenue reporting/forecasting
Added 35 mins ago
T
Financial Crimes Risk Management Associate
TD
Toronto, ON
- Full-time
…job-related knowledge, geographic location, and other specific business and organizational…
Added 35 mins ago
M
Marketing Cloud Specialist
Medcan
Toronto, ON
- $85,122 to $117,042.75 CAD / year
- Full-time
· Translate marketing and business requirements into scalable automation and personalization solutions.
Added 35 mins ago
Manager, Strategic Partnerships & Growth
Scotiabank
Ottawa, ON
Skilled in using market intelligence, data and analytics to evaluate opportunities, establish performance measures and inform decisions.
Added 35 mins ago
C
Application Development Lead, Vice President
Citi
Mississauga, ON
- Full-time
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the…
Added 35 mins ago
C
Applications Development Tech Lead Analyst - VP
Citi
Mississauga, ON
- Full-time
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the…
Added 35 mins ago
E
Senior Engagement Manager
EXL
Canada
- Full-time
…including data engineering, data management, cloud data platforms, business intelligence, advanced analytics, machine learning, generative AI, deployment, governance, and…
Added 35 mins ago
C
Senior Manager, Product Positioning
CIBC
Toronto, ON
- Full-time
Present positioning strategies and key findings to senior leadership and other stakeholders, supporting business development and strategic initiatives. Ensure all positioning activities…

DataVisor

Senior Data Scientist - Fraud Detection

Vancouver, BC, Canada

$120,000 to $150,000 CAD / year · Full-time

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Job details

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Apr 25, 2027
Posting language: English
Posted: Oct 2, 2026

Original job description

About DataVisor

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview

We are looking for a Senior-Level Data Scientist to join our Fraud Detection team - someone equally comfortable building production ML models and getting hands-on with individual fraud cases. This is a dual-track role: you'll develop the machine learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level findings into trend reports and detection improvements. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real, visible impact in the fight against fraud.

Key Responsibilities

Machine Learning & Model Development

End-to-End Model Development: Lead the full lifecycle of fraud detection features and models, from ideation and data exploration to prototyping, productionizing, and monitoring
Advanced Feature Engineering: Develop highly predictive features from complex, large-scale, multi-dimensional data, including user behavior, device intelligence, network graphs, and transaction records
Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform
Agentic AI & Automation: Leverage agentic AI to automate analytic pipelines and develop reusable skill tools that accelerate fraud investigation, feature generation, and reporting workflows

Live Fraud Investigation & Reporting

Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces. Reconstruct attacker sequences and hypothesize actor intent and tooling
Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders
Generate fraud trend reports for customers, synthesizing case-level findings and aggregate data into narratives customers can act on

Requirements

Qualifications

Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.

3+ years of applied experience in fraud detection, cybersecurity, or a related adversarial/high-velocity risk domain (fintech, consumer payments, banking, SaaS, marketplace risk, or security research)
Solid understanding of both classic machine learning models (Logistic Regression, Gradient Boosting, etc.)
Hands-on experience with the machine learning lifecycle in a production environment
Investigator mindset: demonstrated skill in pattern synthesis, hypothesis testing, and triaging signal from noise in ambiguous, adversarial cases - not just building and monitoring models
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Experience with large-scale data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azure)
Excellent communication skills - able to explain complex, ambiguous, or technical behavior clearly to both technical and non-technical audiences, including customers and executives
Professional proficiency in written and spoken English, with the ability to collaborate effectively in a global, cross-functional team

Benefits

Base salary range: $120,000-$150,000, commensurate with experience
PTO, Stock Options, Health Benefits

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More about this job

Responsibilities

Develop, productionize, and monitor fraud detection models and features using large-scale behavioral, device, network, and transaction data. Lead investigations into complex fraud cases, reconstruct attacker behavior, and produce evidence-based reports and customer-facing trend analyses.

Requirements

Requires a master's or PhD in a quantitative field and at least three years of applied experience in fraud detection, cybersecurity, or a related adversarial risk domain. Candidates need production machine learning experience, strong Python and SQL skills, familiarity with large-scale data tools and cloud platforms, investigative judgment, and excellent communication skills.

Skills

Fraud Detection
Machine Learning
Python
SQL
PySpark
Spark
Feature Engineering
Fraud Investigation
Pattern Analysis
Hypothesis Testing
Large-Scale Data Processing
Agentic AI
Technical Reporting
Cloud Platforms
Device Intelligence
Communication

Benefits

Paid Time Off
Stock Options
Health Benefits

Visa sponsorship

Not detected in the job text

Keywords

Fraud Detection
Fraud Investigation
Machine Learning
Logistic Regression
Gradient Boosting
Python
SQL
PySpark
Spark
Hadoop
AWS
GCP
Azure
Agentic AI
Feature Engineering
Device Intelligence
Network Graphs
Transaction Records
Imbalanced Datasets
Production Machine Learning
Model Monitoring
Pattern Synthesis
Hypothesis Testing
Cybersecurity
Risk Management
Anti-Money Laundering
Technical Reporting
Fraud Trend Reports
Data Exploration
Large-Scale Data Processing

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