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Added 9 mins ago
RB
Senior Director, AI Architecture
Royal Bank of Canada
Toronto, ON
- Full-time
Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship Building
Added 9 mins ago
RB
Manager, Financial Crimes Oversight Testing U.S.
Royal Bank of Canada
Toronto, ON
- Full-time
…present findings to relevant stakeholders and escalate issues to senior management, when…
Added 9 mins ago
MI
Director of Product
Method Integration Inc.
Remote, Canada
- Full-time
- Remote
Extensive experience in a senior product leadership role, preferably in a B2B SaaS company.
Added 24 mins ago
Responsable de projets sénior - Expériences Fever Originals
FeverUp
Montreal, QC
Senior Project Manager – Fever Originals, Canada
Added 24 mins ago
Live Experience Senior Project Manager - Fever Originals
FeverUp
Vancouver, BC
Senior Project Manager – Fever Originals, Canada
Added 24 mins ago
Senior Business Analyst
Mariner
Halifax, NS
We are seeking an experienced Senior Business Analyst to support enterprise technology and business transformation initiatives for a client in Halifax, NS.
Added 25 mins ago
FC
Actuarial Associate (Ontario)
First Canadian Financial Group
Sherwood Park, AB
- Full-time
…core actuarial expertise in pricing, reserving, and portfolio analytics, while taking on increased responsibility for leadership, project ownership, and management-facing decision…
Added 25 mins ago
ML
Live Supply Chain Data Administrator
Maple Lodge Farms
Brampton, ON
- $47,000 to $57,000 CAD / year
- Full-time
Reporting to the Live Supply Chain Science and Analytics Manager, the Live Supply Chain Data Administrator will be responsible to database key payments data required by Live Supply Chain…
Added 25 mins ago
MN
Vice President, Professional Services
March Networks
Ottawa, ON
- Full-time
…processes, improving resource utilization, and embedding automation, analytics, and AI into the service lifecycle. This leader must also have demonstrated success leading globally…
Added 25 mins ago
Y
Talent Acquisition - Technical and Sales (B2B)
YuJa
Toronto, ON · North York, ON
- $50,000 to $55,000 CAD / year
- Full-time
Strategically and creatively source passive candidates for senior and specialized roles using LinkedIn Recruiter, referrals, job postings, cold outreach, and ATS tools
Added 25 mins ago
FS
Senior Python Developer
Futran Solutions
Mississauga, ON
- Full-time
Added 25 mins ago
MF
Financial Data & BI Analyst
MTY Food Group
Richmond Hill, ON
- Full-time
Bachelor’s degree in data Analytics, Computer Science, Finance, Accounting, or related quantitative field
Added 25 mins ago
AS
Senior Business Analyst
Alquemy Search & Consulting
AB · Edmonton, AB
- Full-time
We are seeking two experienced Senior Business Analysts to support a large-scale ERP/EAM transformation program. The role will focus on business requirements, solution design, data…
Added 40 mins ago
B
Senior / Lead Product Manager - New Verticals
Baselane
Toronto, ON
- Full-time
Excellent analytical skills. You're comfortable working hands-on with SQL, product analytics, and experimentation. You can combine qualitative and quantitative signals to validate…
Added 40 mins ago
SH
Director, Central Region Cancer Programs
Southlake Health Community
Newmarket, ON · Southlake Health
- Full-time
As a member of Southlake's senior leadership team, the Director, Central Region Cancer Programs will champion regional planning, performance improvement, system integration, innovation, and…
Added 40 mins ago
C
Executive Producer, Publishing (English Services) (On-Site)
CBC/Radio-Canada
Toronto, ON
- Full-time
Provide clear direction, feedback and coaching to senior producers and producers, supporting consistent publishing practices across shifts, dayparts and weekends.
Added 40 mins ago
R
Senior Software Quantitative Engineer
RBC
Vancouver, BC · Toronto, ON
- Full-time
Experience using analytics libraries and frameworks such TensorFlow, scikit, NumPy
Added 40 mins ago
A
Category Analyst - CPG Grocery
Acosta
Mississauga, ON
- Full-time
Build category reviews that link data to clear, actionable recommendations, not just the obvious, and tailor the story to your audience (e.g., a buyer, a client, or a senior leader).
Added 40 mins ago
SC
Systems Administrator
Staples Canada
Richmond Hill, ON
- Full-time
Systems Administrator is a Senior position. The recipient will be responsible for high availability and continuity of technology and infrastructure in multiple Data Centers across Canada.
Added 55 mins ago
BG
Financial Analyst
Brandt Group of Companies
Calgary, AB
- Full-time
2 - 3 year(s) experience working as a Financial Analyst or Senior Accountant role.
Added 55 mins ago
PC
Finance Managed Services Senior Associate
PwC Canada
Calgary, AB
- Full-time
As a Finance Managed Services Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t…
Added 55 mins ago
NB
Senior Director AI and Operations Engineering
National Bank of Canada
Montreal, QC
- Full-time
A career as Senior Director, AI and Operations Engineering in the Wealth Management Operations team at National Bank means acting as a leader in accelerating the transformation of wealth…
Added 55 mins ago
RI
Senior Research Consultant
Reach3 Insights
ON · Ontario, Canada
- Full-time
Reporting to Director, we’re looking for a client focused and passionate Senior Research Consultant to join Reach3 Insights. In this role, you’ll help drive business success across a…
Added 55 mins ago
HR
Senior Financial Analyst
Hopewell Real Estate Services
Calgary, AB
- Full-time
Hopewell Development LP is seeking a Senior Financial Analyst to join our Accounting & Finance team in Calgary. Reporting to the Manager, Financial Analysis, this role supports investment,…
Added 55 mins ago
FH
Controller/Business Analyst
Fuze HR Solutions
Montreal, QC
- Full-time
Support senior management with financial reporting, accounting analysis, budgeting, forecasting, and ad hoc projects.

DataVisor

Senior Data Scientist - Fraud Detection

Toronto, ON, Canada

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

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Applications open in a new tab.

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, complex data, and apply agentic AI to automate analytic and investigation workflows. Lead investigations into fraud cases, reconstruct attacker behavior, and produce evidence-based case studies and customer trend reports.

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, an investigative mindset, and excellent communication skills.

Skills

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

Benefits

Paid Time Off
Stock Options
Health Benefits

Visa sponsorship

Not detected in the job text

Keywords

Fraud Detection
Cybersecurity
Machine Learning
Logistic Regression
Gradient Boosting
Python
SQL
PySpark
Apache Spark
Hadoop
AWS
GCP
Azure
Agentic AI
Feature Engineering
Device Intelligence
Network Graphs
Transaction Records
Fraud Investigation
Pattern Synthesis
Hypothesis Testing
Imbalanced Datasets
Large-Scale Data Processing
Production Machine Learning
Risk Management
Fintech
Consumer Payments
Banking
SaaS
Marketplace Risk

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