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Added 5 months ago
BC
Senior Business Intelligence Engineer
BFL CANADA
Montreal, Quebec
- Full-time
We are looking for a Senior Business Intelligence Engineer to join our Business Intelligence team in our Montreal office!
Added 5 months ago
WT
Senior Data Scientist, Sales
Wealthsimple Technologies
Remote, Canada
- $151,200 to $189,000 CAD / year
- Full-time
- Remote
Excellent SQL & Python skills - hands-on experience with data pipeline tools such as dbt and Airflow are an advantage
Added 6 months ago
S
Senior/Lead Risk Analyst, Payment fraud
Snaplii
Toronto, Ontario
- Full-time
SQL proficiency (must-have) - able to independently query and analyze large datasets. Python (good-to-have).
Added 2 months ago
Senior Manager, Resilience Engineering (Scenario Testing)
Scotiabank
Toronto, ON
Use analytical tooling (e.g., SQL, Python, data visualization platforms, monitoring and observability systems) to derive trends, correlations, and identify focus areas for testing exercises.
Added 5 months ago
D
Senior Data Scientist
DAC
Toronto, Ontario
- Full-time
Move Your Career Forward with DAC a Senior Data Scientist
Added 5 months ago
C++ Developer
Glint Tech Solutions LLC
Toronto, Ontario
Glint Tech Solutions is hiring a C++ Developer for Toronto, Canada!
Added 2 months ago
V
Specialist, Data Quality Developer
Vale
Toronto, ON
- Full-time
The Specialist, Data Quality Developer is responsible for designing, building, and maintaining enterprise data quality, data catalog, data stewardship, and master data management (MDM)…
Added 5 months ago
M
Director, Data Science
Mastercard
Toronto, Ontario
- Full-time
Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake.
Added 5 months ago
B
Senior Software Developer - Cloud Platform
BlueCat
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Software Engineer with strong communication, and collaboration abilities to join our dynamic team. The ideal candidate will have expertise in…
Added 5 months ago
Senior Python Developer
Glint Tech Solutions LLC
Toronto, Ontario
We are seeking a hands-on, self-directed Senior Python Developer to support delivery within the Total Fund Management Portfolio Management Technology team. This role demands high autonomy,…
Added 5 months ago
IN
Senior Data Engineer
IKO North America
Mississauga, Ontario
- Full-time
…flows? If so, we have the perfect opportunity for you! As a Senior Data Engineer, you will ensure scalable and efficient data systems by addressing global operational demands, maintaining…
Added 5 months ago
NF
Senior Analyst, Credit Risk (Future Opportunities)
Neo Financial
Calgary, Alberta · Toronto, Ontario
- $70,000 to $110,000 CAD / year
- Full-time
Technical Expertise: Proven ability to use advanced data analysis tools (SQL, Python/R, or similar) to extract, manipulate, and analyze large datasets.
Added 5 months ago
N
Senior Data Engineer
NimbleRx
Toronto, Ontario
- Full-time
Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale
Added 5 months ago
Senior Data Platform Engineer
Helcim Inc
Calgary, Alberta
Technology Stack: We use BigQuery, dbt, Airflow, and Airbyte as our data warehousing technologies and SQL + Python as our programming languages
Added 5 months ago
TG
Senior Analyst, Quantitative Model Validation (Model Vetting)
TMX Group
Toronto, Ontario · Montreal, Quebec
- $100,000 to $130,000 CAD / year
- Full-time
The Senior Analyst, Model Validation performs quantitative and qualitative validation of models and non-models developed to assess and analyze market, credit, liquidity, and financial…
Added 5 months ago
S
Senior Software Developer
Stantec
Edmonton, AB
- Full-time
We are seeking a seasoned Senior Full Stack Developer to join our engineering team. This role is designed for a technical powerhouse who excels in building modern web applications,…
Added 4 months ago
V
Senior Specialist, Data Modeler (Microsoft
Vale
Toronto, Ontario
- Full-time
The Senior Specialist, Data Modeler (Microsoft) is responsible for designing, developing, and maintaining scalable data models, ETL pipelines, and analytics solutions using Microsoft and…
Added 5 months ago
S
Senior Site Reliability Engineer
SimCorp
Toronto, Ontario
- Full-time
Support build, application maintenance, and scaling of incubated products (e.g., Qlik, Tosca, BI, SQL Developer, Python/Java solutions)
Added 5 months ago
Senior Staff Developer, DevOps
Benevity
Calgary, Alberta
Benevity is on a dynamic growth trajectory, where embracing change is part of our DNA. We're on the lookout for a Senior Software Developer who thrives in a fast-paced environment and…
Added 5 months ago
Senior Staff Developer, DevOps
Benevity
Toronto, Ontario
Benevity is on a dynamic growth trajectory, where embracing change is part of our DNA. We're on the lookout for a Senior Software Developer who thrives in a fast-paced environment and…
Added 5 months ago
Senior Staff Developer, DevOps
Benevity
Vancouver, British Columbia
Benevity is on a dynamic growth trajectory, where embracing change is part of our DNA. We're on the lookout for a Senior Software Developer who thrives in a fast-paced environment and…
Added 3 months ago
RB
Sr. Manager, Supply Chain Data, Analytics and Systems, Tim Hortons
Restaurant Brands International
Toronto, Ontario · Corp - Toronto Corporate Office
- Full-time
Translate analytics into clear, actionable recommendations for senior leadership
Added 5 months ago
SS
Senior Software Engineer, Back-End (Remote Canada)
Short Story
Remote, Canada
- Full-time
- Remote
As a Senior Backend Engineer, you’ll design and build the services that power our core workflows, from order processing to logistics and internal operations.
Added 5 months ago
Manager, Financial Planning and Analysis
Benevity
Canada
Proven technical development and AI competencies (e.g., Python, SQL, AI/ML tools), with a strong track record of modernizing finance operations and reducing spreadsheet reliance.
Added 5 months ago
Manager, Financial Planning and Analysis
Benevity
Calgary, Alberta
Proven technical development and AI competencies (e.g., Python, SQL, AI/ML tools), with a strong track record of modernizing finance operations and reducing spreadsheet reliance.

Snaplii

Senior/Lead Risk Analyst, Payment fraud

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Experience: Minimum 5 years of professional work experience;
Posting language: English
Posted: May 5, 2026

Original job description

At Snaplii, risk management isn't a "brake" on growth - it’s the "supercharger" that enables our 300% explosive expansion. We aren't looking for analysts who just read reports; we want strategists who can reverse-engineer fraud loops and command AI to automatically sever risks.

About Snaplii

Snaplii is one of Canada’s fastest-growing fintech platforms, with $100M+ in annual transaction volume and 350,000+ users across North America, Snaplii connects consumers with 500+ leading brands across everyday categories - enabling smarter spending with instant savings and rewards.

Today, Snaplii is evolving beyond a digital wallet into infrastructure for AI-native commerce - enabling secure, programmable transactions between users, brands, and AI agents.

AI drives demand. Snaplii executes the transaction.

About the Role

We are looking for a Risk Leader with deep fraud expertise and raw analytical horsepower. This role will shape and implement cutting-edge risk strategies that drive sustainable growth, minimize losses, and enhance the customer experience. The ideal candidate has direct experience in payment fraud detection and prevention, with the ability to spot fraudulent transactions and translate fraud patterns into scalable, data-driven solutions. This role requires a balance of hands-on fraud investigation, SQL-driven analytics, and collaboration with product and engineering teams to design and implement automated fraud controls.

Key Responsibilities

Lead the end-to-end development and execution of financial risk strategies - from opportunity identification to design, testing, launch, and post-production performance monitoring.
Identify, investigate and monitor fraudulent or anomalous activity, including isolating and quantifying specific trends driving changes to fraud and payment patterns.
Analyze internal and external data and produce authoritative reports and root-cause analysis on fraudulent activities and chargebacks.
Experienced in collaborating with engineers and product managers to successfully deploy fraud prevention solutions that balance growth with risk control.
Act as a liaison between the company and payment processors/vendors, with strong communication skills to speak the industry language, manage vendor relationships, and ensure effective alignment on fraud and risk management.

Qualifications

The ideal candidate is an accountable and resilient team-player who brings a combination of business instincts, technical skills and raw analytical horsepower necessary to support the rapid growth of Snaplli’s business.
Minimum 5 years of professional work experience; Minimum 3 years in a fraud-related role; Minimum 1 year in the payments industry.
Experience working with various payment methods in multi-currency environments, ideally within e-commerce or related industries.
Proven ability to investigate and identify fraudulent activities, including hands-on experience with transaction reviews and fraud case analysis.
Strong data modeling skills (3+ years): hands-on experience building fraud detection models, user behaviour scoring systems, and transaction anomaly detection models, including feature engineering, model training, evaluation, and deployment.
Ability to integrate models with risk systems to enable automated, model-driven fraud prevention workflows.
Proficiency with machine learning frameworks (Python or R with Sklearn, XGBoost, LightGBM, etc.) and prior experience deploying models into production environments.
SQL proficiency (must-have) - able to independently query and analyze large datasets. Python (good-to-have).
Previous experience as a Fraud Analyst, Risk Analyst, Operations Specialist, Data Scientist, or Product Manager. Bachelor’s degree in Engineering, Computer Science, Statistics, Finance, or a related analytical/technical field.
Strong problem-solving skills and reverse-engineering thinking, with the ability to anticipate and predict potential risks from a fraudster’s perspective.
Proficiency in Mandarin Chinese is an asset but not required.

Why Join Us

Building AI-Native Payments
- Powering how AI agents transact in the real world.
Explosive Growth
- 300%+ revenue & TPV growth in 2025, with accelerating momentum into 2026.
Small Team, Massive Scale
- <40 people. A lean & high-performance team where every decision moves revenue, risk, and user experience.
AI-First Engineering Culture
- 90%+ of code is AI-assisted. Engineers focus on architecture and complex problems

Apply About employer

More about this job

Responsibilities

Lead the development and execution of financial risk strategies to minimize losses and prevent payment fraud. Collaborate with engineering and product teams to implement automated fraud controls and manage relationships with payment processors.

Requirements

Requires at least 5 years of professional experience, including 3 years in fraud and 1 year in payments. Must be proficient in SQL and machine learning frameworks with a bachelor's degree in a technical or analytical field.

Skills

Payment Fraud Detection
SQL
Python
Machine Learning
Data Modeling
Fraud Investigation
Risk Strategy
Feature Engineering
Anomaly Detection
Root-Cause Analysis
Vendor Management
Transaction Review

Visa sponsorship

Not detected in the job text

Keywords

Fintech
Payment Fraud
AI-Native Commerce
SQL
Python
Sklearn
XGBoost
LightGBM
Data Modeling
Chargebacks
Risk Management
E-commerce
Multi-currency
Transaction Monitoring
Feature Engineering
User Behaviour Scoring

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