Articles about Affirm

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Margo Steines Margo Steines
Published on March 04, 2026

11 Top Data Analytics Companies in Toronto

These data analytics companies are supporting growth across Toronto’s business sectors by providing insights into their operations.

Mia Goulart Mia Goulart
Updated on February 19, 2026

12 Finance Companies in Toronto to Know

The city is home to a variety of financial services and fintech companies — and for good reason. See what companies are propelling Ontario’s economic engine.

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Margo Steines Margo Steines
Updated on August 14, 2026

18 Fintech Companies in Toronto to Know

These Toronto fintech companies offer software and services for both businesses and consumers.

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Olivia McClure Olivia McClure
Updated on October 09, 2026

43 Top Tech Companies in Toronto to Know

Toronto’s booming tech community is reshaping the city’s economic landscape. These are the companies leading the way.

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Recently posted jobs

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Big Data • Fintech • Mobile • Payments • Financial Services
Develop and scale production machine learning models for credit decisioning, including default prediction and approval decisions. Build training, decisioning, monitoring systems, data pipelines, features, and algorithms. Conduct research, develop prototypes, and collaborate with engineering, credit, and product teams to deliver machine learning products from inception through business impact.
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Canada
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Big Data • Fintech • Mobile • Payments • Financial Services
Develop and ship web, mobile, and API features for Affirm’s card acquisition experience. Break projects into deliverable phases, collaborate with product, design, and analytics, write tested and extensible code, support production availability through metrics and on-call activities, review code, and contribute to interviewing and team development.
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Remote
Canada
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Big Data • Fintech • Mobile • Payments • Financial Services
Own go-to-market operations for strategic product and pricing initiatives. Segment customers, manage legal and pricing eligibility, build field tools and playbooks, track adoption, analyze performance, and identify launch risks. Translate cross-functional inputs into executable processes for sales and customer-facing teams while recommending improvements based on field feedback and data.