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Added 3 months ago
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R2026-297 Senior Software Engineer
Flywheel
Toronto, ON
- Full-time
As a Senior Software Engineer - Full Stack with Perpetua, you will contribute to our core platform built primarily with Python, Django, React, TypeScript, BigQuery, and GCP. You will help…
Added 3 months ago
TH
Manager, Data Science (Askuity division)
The Home Depot Canada
Toronto, ON
- Full-time
Python, R, SQL, and machine learning frameworks such as TensorFlow or PyTorch
Added 3 months ago
PI
Senior Snowflake Engineer
Princeton IT Services, Inc
Toronto, ON
- Full-time
Data Engineer with strong expertise in ETL development, building Snowflake data pipelines, SQL, Python, and scalable data engineering solutions.
Added 2 months ago
SF
Consultant – Business Intelligence & Data Analytics
Sapling Financial Consultants
Toronto, ON
- Full-time
As a Consultant, you will collaborate with our co-founders and senior consultants to conduct in-depth analyses for management using financial and business data as well as build…
Added 2 months ago
SF
Analyst – Business Intelligence & Data Analytics
Sapling Financial Consultants
Toronto, ON
- Full-time
As an Analyst, you will collaborate with our co-founders and senior consultants to conduct in-depth analyses for management using financial and business data as well as build comprehensive…
Added 2 months ago
SF
Analyst – Financial Modelling & Due Diligence
Sapling Financial Consultants
Toronto, ON
- Full-time
Added 1 month ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 2 months ago
AG
Data Analyst
Adelphi Group
Toronto, ON
- Full-time
Fluency with data, analytics, and visualization technologies (we use SQL, Python, Tableau)
Added 2 months ago
TD
Senior Manager, Solutions Architecture
TELUS Digital
Remote, Canada
- $224,000 to $254,000 CAD / year
- Full-time
- Remote
Backend: APIs (NodeJS, Spring, .NET, Python), Cloud (AWS, Azure, GCP), Data Services/Systems (SQL, NoSQL, Kafka)
Added 3 months ago
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Sr. Solutions Architect
Criteo
Toronto, ON
- Full-time
Experience with data, SQL, Python and analytical concepts, even if not the primary hands-on builder
Added 3 months ago
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Commercial Intelligence Lead
FSi (Fresh Squeezed Ideas)
Toronto, ON
- Full-time
Present findings and strategic implications to senior client stakeholders.
Added 3 months ago
JG
Senior Data Scientist
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Senior Data Scientist to deliver enterprise AI and machine learning solutions from exploration to production. The ideal candidate has strong expertise in…
Added 1 month ago
Fraud & Risk Analyst
Lyft
Toronto, ON
Expertise in SQL, Python or other programming language to query data and perform analysis
Added 2 months ago
C
Senior Data Engineer
CarePartners
London, ON · Waterloo, ON
- Full-time
The Senior Data Engineer is responsible for the design, governance, and ongoing evolution of the organization's enterprise data environment. This role provides leadership in data…
Added 3 months ago
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Senior Director, Pricing
Financeit
Toronto, ON
- $175,000 to $195,000 CAD / year
- Full-time
Advanced, hands-on proficiency in SQL and financial modeling is required
Added 3 months ago
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Director, Internal Audit Analytics & Artificial Intelligence
Brookfield
Toronto, ON
- Full-time
Provide technical direction for Power BI, Alteryx, SQL, Python and LLM tools (Microsoft Copilot, ChatGPT, Claude), including prompt engineering, automation and agents.
Added 2 months ago
Director, Strategic Projects and Actuarial Innovation
Equitable
Waterloo, ON
Advanced model development and analytical capabilities, including Excel-based model design; experience with VBA, SQL, Python, Power BI, or similar tools is considered an asset.
Added 2 months ago
M
Senior Manager, Advanced Analytics
MNP
Edmonton, AB · AB · NS
- Full-time
Understanding of SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark;
Added 2 months ago
MU
Head of Sales
Monex USA
Toronto, ON
- Full-time
Data Analytics & Business Intelligence – Proficiency in BI tools (Power BI, Tableau, SQL, Python, or R).
Added 2 months ago
C
Database developer Smartstream TLM SME Senior Programmer Assistant Vice President
Citi
Mississauga, ON
- Full-time
The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application…
Added 2 months ago
CI
AI Engineering Lead (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Toronto Dominion Centre / Design Exchange), Ontario
- Full-time
Mastery of Python and deep experience with AI/ML frameworks, Proven ability to write clean, high-performance, and maintainable code in Python, Java, SQL, and Spark.
Added 3 months ago
TH
Sr. Manager, Supply Chain Data, Analytics and Systems, Tim Hortons
Tim Hortons
Toronto, ON
- Full-time
Translate analytics into clear, actionable recommendations for senior leadership
Added 2 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Strong hands-on proficiency in Python and SQL for data extraction, ingestion, wrangling, analysis, and modeling
Added 2 months ago
JI
Senior MLOps Engineer | Ingénieur·e MLOps senior
Jesta I.S.
Montreal, QC
- Full-time
Languages & Frameworks: Python (pandas, Polars, boto3, joblib, LightGBM/XGBoost), SQL, JavaScript/React
Added 2 months ago
M
Manager, Ecommerce Product Analytics
McAfee
Waterloo, ON · UNAVAILABLE, Ontario
- Full-time
Advanced analytical skills with expert proficiency in SQL and experience analyzing large-scale site datasets. Proficient in Python for analysis and statistical work.

Lyft

Fraud & Risk Analyst

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Sep 4, 2026

Original job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Trust and confidence is fundamental to the Lyft marketplace, and the Pay, Integrity & Identity (PII) Analytics team is charged with providing and ensuring that trust and safety to all customers. The PII Analytics team is one of the most critical teams that helps protect Lyft and enables the company to grow in a sustainable way. The team is fast-paced, high-energy, and meticulous in diagnosing emerging fraud patterns and preventing fraud loss before it can happen. We drill holes in all the products we launch and obsess over how to make our business impervious to fraud vectors. The team conducts a rigorous analysis of complex data sets and sets up multiple layers of business rules, models, and other processes to prevent potential fraud. We are a highly cross-functional team and regularly engage in discussion and reviews with stakeholders to prioritize plans for reducing fraud impact and introducing safety features.

We’re looking for a rock-star to join a fast-paced environment to contribute to Fraud-related analysis and operations. This individual is responsible for investigating and developing solutions to prevent and mitigate third party fraud. This person will proactively identify fraud patterns and sources to minimize the company’s exposure to financial and reputational risk. The Senior Analyst will take ownership over multiple discrete fraud segments to develop and execute a strategy which addresses fraud in the earliest stages of detection. The Senior Analyst will define fraud prevention measures that are mindful of the impact on good user experience while inhibiting fraud actors’ ability to reach our platform.

This person is quantitatively driven, detail-focused, and operations-savvy while ensuring the best possible customer experience. This individual possesses a high level of subject matter expertise and is experienced in utilizing information generated from fraud patterns, data analytics and business knowledge to identify insights and formulate a response plan. This person will work closely with Product Managers, Data Scientists and Engineers to mitigate and eliminate all forms of fraud. The individual will also work closely with operations teams to define efficient processes and systems for the fraud and customer support agents to resolve fraud issues quickly and meet organizational service-level objectives.

Responsibilities:

Develop, implement, and improve comprehensive fraud detection strategies, real-time fraud rules and models directly and in collaboration with relevant teams.
Support cross functional teams to build-out critical dashboards and tools to measure effectiveness of payment process, operations and new programs
Collaborate with Product Management, Data Science, Engineering and Operations to resolve identity or integrity issues and other escalations
Able to communicate complex information both verbally and in writing, effectively with audiences at every level, including executive leadership team, partners, and individual contributors.
Report overall status, primary business metrics, key issues and solution recommendations and plans to senior management and executives
Establish business cases and projected ROI on investments to prioritize opportunities related to fraud programs
Deliver enhancements to Lyft fraud detection and mitigation, communicate and prioritize development in collaboration with product management and engineering teams
Create robust and customer-friendly policies to reduce user friction along with balancing fraud loss

Experience:

5+ years of experience across payment, marketplaces, e-commerce, retail, digital media or financial services industries. Fraud, payments or Identity experience is preferable, especially in the merchant risk domain. (8+ years experience for Senior)
Bachelor’s degree in a quantitative field or relevant work experience
Expertise in SQL, Python or other programming language to query data and perform analysis
Have a bias towards action in resolving issues and perform in a high-energy, fast-paced environment
Ability to execute projects independently with minimal oversight
Strong communication skills; Clearly articulate complex analysis through presentations and writing
Ability to prioritize competing projects among departments, history of effectively working with multiple teams to build new capability and implement projects
Effectively manage senior executive asks and provide written and verbal communication to them
Ability to ‘Dive Deep’ with a structured approach to problem solving
Excellent cross-group collaboration skills, ability to impact and influence outcomes in matrixed environment
Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines

Benefits:

Extended health and dental coverage options, along with life insurance and disability benefits
Mental health benefits
Family building benefits
Child care and pet benefits
Access to a Lyft funded Health Care Savings Account
RRSP plan with company match to help save for your future
In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $96,000 - CAD $120,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

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More about this job

Responsibilities

Develop and implement comprehensive fraud detection strategies and real-time models to mitigate financial and reputational risk. Collaborate with cross-functional teams including Product, Engineering, and Data Science to optimize fraud prevention measures while maintaining a positive user experience.

Requirements

Requires 5+ years of experience in payment, marketplace, or financial services industries with expertise in SQL or Python. A bachelor's degree in a quantitative field is required, along with strong communication and project management skills.

Skills

Fraud detection
Risk analysis
SQL
Python
Data analytics
Payment processing
Identity verification
Business rules development
Cross-functional collaboration
Stakeholder management
Strategic planning
Project management
Communication
Problem solving
Operations management

Benefits

Extended health and dental coverage
Life insurance
Disability benefits
Mental health benefits
Family building benefits
Child care benefits
Pet benefits
Health Care Savings Account
RRSP plan with company match
Flexible paid time off
Paid parental leave
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Fraud & Risk Analyst
PII Analytics
Fraud patterns
Merchant risk
Data science
Product management
SQL
Python
Dashboards
ROI
Identity integrity
Risk mitigation
Financial services
Marketplace
E-commerce
Operations
Service-level objectives
Business intelligence
Data analysis
Strategy development

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