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Added 12 days ago
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Agentic AI Developer
CGI
Ottawa, ON
- Full-time
We are seeking Intermediate Agentic AI Developers / AI Engineers to support an AI modernization initiative with a major Government of Canada department.
Added 12 days ago
RI
Senior Full Stack Engineer - Java / AI
Rose International
Mississauga, ON
- Full-time
Hands-on experience with data streaming technologies, specifically Kafka.
Added 12 days ago
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GenAI Python Developer
Synechron
Montreal, QC · MDC – Montreal
- Full-time
Nous recherchons un Développeur Python GenAI hautement technique ayant une expérience démontrée dans la conception, le développement et le déploiement d’applications d’intelligence…
Added 12 days ago
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AI Developer Senior
Intact FC
Montreal, QC
- Full-time
…workplace where you can shape the future, win as a team and grow with…
Added 12 days ago
IG
Project Manager - Finance
Infotree Global Solutions
Montreal, QC
- Contract
Ensure compliance with all relevant regulatory requirements and internal standards related to model risk management under the guidance of the Head of RISK IRC Americas.
Added 12 days ago
BI
ETL with Snowflake Consultant
BURGEON IT SERVICES
Calgary, AB
- Contract
We are looking for a Senior ETL developer with Snowflake experience to serve as a technical leader and trusted advisor for business/stakeholders. This role is not just about building data…
Added 12 days ago
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Senior Data Scientist - Fraud Detection
DataVisor
Vancouver, BC
- $120,000 to $150,000 CAD / year
- Full-time
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Added 12 days ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Calgary, AB
- $120,000 to $150,000 CAD / year
- Full-time
Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus
Added 12 days ago
CS
Application Production Support Analyst
Cynet Systems
Montreal, QC
- $438.81 CAD / day
- Contract
Proficiency in at least one of Shell, Perl, Batch, or Python scripting skills.
Added 12 days ago
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Reporting Lead, Purpose & Sustainability
Deloitte
Toronto, ON
- Full-time
Data analysis with SQL, JavaScript and some development experience with Python
Added 12 days ago
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Senior Advisor Analytics
Manpower
Calgary, AB
- Contract
Advanced proficiency in SQL and Python, with hands-on experience building analytical workflows on cloud analytics platforms (preferably Databricks).
Added 12 days ago
BI
Java Full Stack Senior Developer
BURGEON IT SERVICES
Toronto, ON
- Contract
DevOps: GitHub, Jenkins, Kubernetes, MuleSoft, Kafka, Python, Dynatrace, Splunk
Added 12 days ago
BC
Legal Technologist
Blake, Cassels & Graydon LLP
Toronto, ON
- Full-time
Designing, building and maintaining APIs, integrations and internal tooling that connect legal technology platforms with core firm systems and improve workflow efficiency
Added 12 days ago
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Applied AI Engineer
Luxoft
Canada
- Full-time
…into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an applied AI engineer to build AI with real, measurable…
Added 12 days ago
Senior Manager, Data Science & Service Intelligence
Questrade Financial Group
Toronto, ON
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…
Added 12 days ago
CI
Associate, Investment Engineering & Analytics (12-month contract)
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Proficiency in Python, with experience using data science libraries such as pandas or NumPy considered a strong asset.
Added 12 days ago
D
Modeling & Risk Management - Senior Risk Analyst
Driven
ON · Ontario, Canada
- Full-time
Purpose Unlimited is an independent financial services company with an unrelenting focus on customer-centric innovation, delivered through technology-driven solutions. Led by entrepreneur…
Added 12 days ago
T
QA Test Automation Co-op Student (Winter 2027)
TechInsights
Ottawa, ON
- $21 to $25 CAD / hour
- Internship
…informed business, design, and product decisions faster and with greater confidence. For more information, visit…
Added 12 days ago
BI
Senior ETL Developer – Snowflake Calgary, AB, Canada
BURGEON IT SERVICES
Calgary, AB
- Contract
We are looking for a Senior ETL Developer with strong Snowflake expertise to design, develop, and optimize scalable data pipelines and modern data warehouse solutions. The candidate must…
Added 12 days ago
BI
Senior ETL developer with Snowflake Exp
BURGEON IT SERVICES
Calgary, AB
- Contract
Position: Senior ETL developer with Snowflake Exp
Added 12 days ago
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Senior Quality Assurance Engineer
FireFlink
Toronto, ON
- Full-time
…file-based workflows, and data validations, while working closely with developers, business analysts, product teams, and other QA engineers to ensure release…
Added 12 days ago
R
AI/ML Compliance Lead
Roche
Mississauga, ON · Canada Pharma Campus
- Full-time
You bring functional expertise in programming languages (e.g., Python, R) along with cloud computing platforms (AWS, Azure, GCP) and MLOps practices for model governance in production.
Added 12 days ago
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Data Scientist III
TD
Toronto, ON
- Full-time
Advanced proficiency in SQL and Python/PySpark, with experience building production-ready analytical solutions in Databricks.
Added 12 days ago
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Lead Cloud Software Developer - (AWS / AI / Real Time Payment Systems)
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking an experienced Lead Cloud Software Developer to design, build, and support secure, scalable, highly available, and resilient real-time payment systems. The ideal candidate…
Added 12 days ago
IC
Cloud Operations, Senior Specialist
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
…million transactions daily, supported by trusted partnerships with government and financial institutions. Consistently ranked as Canada’s most reputable financial technology brand, Interac…

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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