Jobs in Canada

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Added 3 months ago
A
Senior Manager - Flights Marketing (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
…complex data sets using different techniques and tools such as SQL or Tableau to drive meaningful…
Added 3 months ago
A
Manager/Senior Manager, Strategic Revenue & Growth Management (Bangkok-based, relocation provided)
Agoda
Vancouver, BC
- Full-time
Analytical Rigor: Exceptional ability to translate complex data sets into actionable business strategies. Expertise in SQL, Excel, or data visualization tools is expected.
Added 4 months ago
D
Solutions Architect
Databricks
Toronto, ON
- Full-time
Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
Added 3 months ago
PL
Business Analyst
PAD landscape
Sault Ste. Marie, ON
- Full-time
Must possess valid documentation to establi
Added 3 months ago
C
Market Data Business Analyst
Confluence
Montreal, QC
- Full-time
Added 3 months ago
C
Data Analyst
Codelynks
Cochin, SK
- Full-time
Must Have skills
Added 3 months ago
EG
Business Analyst
Emterra Group
Surrey, BC
- Full-time
Proficiency in SQL for data extraction and manipulation
Added 3 months ago
C
Software Engineering Intern/Co-op - 2026 Fall
Clearline
Toronto, ON · Kitchener, ON · Waterloo, ON
- $60,000 to $80,000 CAD / year
- Internship
Added 3 months ago
JG
Senior Full Stack .NET Developer - .Net Framework, .Net Core, C#, SQL Server
J&M Group
Toronto, ON
- Contract
Role: Senior Full Stack .NET Developer - .Net Framework, .Net Core, C#, SQL Server
Added 3 months ago
AC
Product Engineering (Integration Java Developer)
Allstate Canada
Toronto, ON
- Full-time
We are looking for an experienced Product Engineering (Integration Java Developer) to play a key role within this global team which will comprise members from ACG, Allstate Northern Ireland…
Added 3 months ago
A
Stagiaire en Développement Cloud, Intern Cloud Developer
Autodesk
Montreal, QC
- Full-time
Expérience des bases de données no-sql (par exemple DynamoDB)
Added 3 months ago
C/
Surveillance Officer, Cross-Assets
CIRO / OCRI
Montreal, QC
- Full-time
Must have confidence and experience working with large data sets, using business tools
Added 3 months ago
EB
Director, Treasury, Finance, and Stress Testing Model Validation
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Advanced programming skills in Python, SQL, MATLAB, Excel VBA with macro. Previous experience in data analytics is preferred.
Added 3 months ago
C
Software Engineer – Margin Technology - Officer
Citi
Mississauga, ON
- Full-time
Proficiency with data structures, algorithms and SQL
Added 3 months ago
ES
Senior Data Engineer
Euna Solutions
ON · Oakville, Ontario
- Full-time
Strong SQL and Python, and comfort with transformation tooling such as dbt.
Added 3 months ago
P
Senior Software Engineer C# .NET
Prophix
Remote, Canada
- Full-time
- Remote
Proven proficiency with Microsoft technologies including C# .NET/Core, SQL Server, and Entity Framework.
Added 3 months ago
A-
Analyst, Business Analysis
AMA - Alberta Motor Association
Edmonton, AB
- Full-time
Advanced working knowledge of SQL (including complex query writing).
Added 3 months ago
Business Analyst
Enercare
Markham, ON
Assist in gathering, validating, and organizing data from various sources including Azure SQL databases and Excel
Added 3 months ago
Développeur Java / Java Developer
mthree Recruiting Portal
Montreal, QC
Concevoir, développer et améliorer le courtier de projections SQL au sein du DAL (Data Access Layer) pour les dépôts Leto, en garantissant de hautes performances et une excellente…
Added 2 months ago
Data Scientist, Fraud
Stripe
Toronto, ON
Proficiency in SQL and a computing language such as Python or R
Added 3 months ago
C
Senior Full Stack Developer (contract)
Capgemini
Toronto, ON
- Contract
Working knowledge on Database like SQL Server, Oracle, MongoDB, DB2
Added 3 months ago
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Montreal [Hybrid] IT Business Analyst
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC
- Full-time
Added 3 months ago
PI
Lead Data Engineer
Princeton IT Services, Inc
Toronto, ON
- Full-time
Strong SQL knowledge translating into analytical skills required for data analysis and defect management process
Added 3 months ago
N
Quality Assurance Engineer
Ndax
Calgary, AB
- Full-time
Strong understanding of SQL and scripting languages
Added 3 months ago
C
Technical Banking Environment Consultant
CGI
Vancouver, BC
- Full-time
Must Have Technical Skills:

Stripe

Data Scientist, Fraud

Toronto, ON, Canada

Apply on stripe.com About employer

Applications open in a new tab.

Job details

Experience: PhD with 1-3 years, MS or MA with 2-6 years, or BS or BA with 4-8 years of data science or quantitative modeling experience
Posting language: English
Posted: Sep 4, 2026

Original job description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust.

What you'll do

We're looking for a Data Scientist to join the Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk Operations to move models from research to production, and you'll use data to surface insights that shape fraud strategy across the business.

Data scientists on this team apply supervised and unsupervised machine learning, statistical modeling, causal inference, optimization, and experimentation to some of the most consequential risk problems in global payments.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

PhD with 1-3 years, MS or MA with 2-6 years, or BS or BA with 4-8 years of data science or quantitative modeling experience
Experience with Fraud, Risk or Financial Crimes
Proficiency in SQL and a computing language such as Python or R
Experience in working with cross-functional teams to deliver results
Ability to communicate results clearly and a focus on driving impact
A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
Strong business acumen and experience in synthesizing complex analyses into actionable recommendations
Proficiency with AI tools to accelerate model development, analysis, and coding

Preferred qualifications

Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, causal inference, and experimentation
Experience deploying models in production and adjusting model thresholds to improve performance
Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
A builder's mindset with a willingness to question assumptions and conventional wisdom
Experience with distributed tools such as Spark, Hadoop, etc.
A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

Apply on stripe.com About employer

More about this job

Responsibilities

You will build and improve machine learning models to power fraud detection and loss management systems. You will also collaborate with engineering and operations teams to move research into production and derive actionable insights.

Requirements

Candidates must have a degree in a quantitative field with 1-8 years of experience depending on the level of education. Proficiency in SQL, Python or R, and experience in fraud or risk modeling are required.

Skills

Data Science
Machine Learning
Statistical Modeling
SQL
Python
R
Fraud Detection
Risk Management
Financial Crime
Causal Inference
Optimization
Experimentation
Data Analysis
Spark
Hadoop

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Fraud
Risk
Financial Crime
Machine Learning
SQL
Python
R
Statistical Modeling
Causal Inference
Optimization
Experimentation
Spark
Hadoop
Data Products
Anomaly Detection
Risk Operations
Financial Integrity
Quantitative Modeling
Business Acumen

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Jobs in Canada