Borrowell

HQ
Toronto
117 Total Employees
Year Founded: 2014

Jobs at Borrowell

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Recently posted jobs

6 Days AgoSaved
In-Office
Toronto, ON, CAN
Fintech • Payments • Financial Services
Lead visual and brand design across product and marketing channels. Own design systems, create reusable assets and templates, support experiments and launches, and collaborate with Product, Marketing, and Engineering to elevate visual quality and brand consistency.
6 Days AgoSaved
In-Office
Toronto, ON, CAN
Fintech • Payments • Financial Services
Partner with Product, Business, Data, and Engineering to scope and deliver end-to-end data science projects: analyze member behavior, evaluate experiments, build predictive models and recommendation systems, implement and measure solutions, and produce reusable features, datasets, monitoring, and stakeholder-facing insights.
7 Days AgoSaved
In-Office
Toronto, ON, CAN
Fintech • Payments • Financial Services
Manage day-to-day partner relationships, identify and close partnership opportunities, negotiate contracts, co-develop joint marketing and product integrations, track partner KPIs and forecasting, and represent Borrowell externally.
8 Days AgoSaved
In-Office or Remote
Toronto, ON, CAN
Fintech • Payments • Financial Services
Design, automate, and manage Azure cloud infrastructure for a marketplace. Lead Infrastructure-as-Code with Terraform, build reusable modules, maintain CI/CD pipelines (Azure DevOps), script operational workflows with Bash, containerize apps with Docker, manage cloud networking and WAF rules, and collaborate with development, security, and QA to ensure reliable, secure deployments.
15 Days AgoSaved
In-Office or Remote
Toronto, ON, CAN
Fintech • Payments • Financial Services
As a Software Developer, you will design, develop, optimize, test, and maintain application code for Borrowell's web and mobile products, ensuring they meet technical and business requirements.
17 Days AgoSaved
In-Office or Remote
Toronto, ON, CAN
Fintech • Payments • Financial Services
Build and maintain end-to-end ELT pipelines, design scalable data models, create APIs for data/ML serving, and collaborate with engineering, data, and business teams to deliver core data infrastructure.