PureFacts Financial Solutions offers an end-to-end revenue management platform tailored for the investments industry, empowering firms to optimize their revenue lifecycle effectively.
Toronto, Ontario
We are the only End-to-End Revenue Management Platform dedicated to the Investments Industry. What does that mean? PureFacts helps some of the largest and most recognizable wealth management, asset management and asset servicing firms manage and grow their revenues. The PureRevenue Platform enables scalable revenue management by powering the entire revenue lifecycle. Firms calculate, collect, distribute, incentivize and optimize their revenues using PureFacts AI-enriched fees engine, incentive compensation application and compelling revenue business intelligence powered by a single system of record for revenue management. PureFacts’ customers retain more clients, deliver incremental value, improve productivity, properly incentivize advisors and partners, prevent costly mistakes and find optimization opportunities. We are global, with headquarters in Toronto Canada, and a presence in the USA, UK, Continental Europe and Asia Pacific regions. PureFacts has been recognized for its innovation and excellence including selections to the WealthTech100, AIFinTech100, and ESGFinTech100 awards.
On-site · Toronto
You will be responsible for supporting the implementation and delivery of compensation technology solutions by working directly with global clients to translate business requirements into scalable designs. Additionally, you will leverage AI and automation to streamline implementation activities and enhance the overall client experience.
On-site · Toronto
Design and maintain scalable automation frameworks while leveraging AI-assisted tools to enhance test coverage and productivity. Perform comprehensive database testing, data migration validation, and integrate automated tests into CI/CD pipelines.
On-site · Toronto
You will lead the design, development, and deployment of AI and machine learning solutions while providing technical direction to a team of engineers. The role involves driving an AI-first strategy to automate workflows and integrate intelligent systems into the company's core SaaS platform.
On-site · Toronto
The AI Engineer will develop LLM-powered applications and agents to automate workflows and enhance client-facing data interactions. They will also design RAG pipelines and implement evaluation frameworks to ensure the quality, safety, and reliability of AI outputs.
On-site · Toronto
You will design, develop, and maintain data pipelines using Snowflake and Azure services while ensuring data quality and reliability. Additionally, you will collaborate with cross-functional teams to implement data governance and leverage GenAI tools to optimize development workflows.
On-site · Toronto
Responsible for the accurate processing of vendor invoices, international payments, and employee expenses while maintaining strong financial controls. The role also focuses on streamlining AP workflows and supporting month-end close activities.
