Finance is becoming autonomous. MindBridge is the only platform that can govern it.
Ottawa, Ontario
MindBridge is the leader in Autonomous Financial Oversight (AFO). The AI-native platform analyzes 100% of transactions at scale across financial systems of record to detect risks early, explain insights with clarity, and enable governed actions. As AI accelerates financial execution, organizations need independent oversight for governance to remain objective, accountable, and trusted. MindBridge provides the oversight layer required to maintain financial and audit integrity. Trusted by organizations worldwide, the platform empowers finance and external audit teams to move beyond sampling, strengthen controls, and operate with speed and confidence. For more information, visit www.mindbridge.ai.
Remote · Canada
You will design and maintain automated test suites while integrating AI-powered agentic tools to accelerate quality workflows and failure triage. Additionally, you will contribute to the validation strategies for AI-native features, ensuring reliability and performance across the development lifecycle.
Remote · Canada
The Data Engineer will lead end-to-end ETL processes for financial data and advise clients on data standardization and best practices. They will also collaborate cross-functionally to troubleshoot data issues and influence product development based on customer needs.
Remote · Canada
The Customer Value Architect translates customer goals and operating strategies into scalable adoption motions and measurable value realization. They partner with internal teams and customer stakeholders to embed MindBridge into recurring workflows and drive long-term transformation.
Remote · Canada
The Senior Data Science Engineer will provide applied data science expertise to help customers maximize the value of MindBridge's AI models and ensembles. This role involves configuring models, investigating behavior, and acting as a technical liaison between customers and internal product and engineering teams.
Remote · Canada
Lead the design, development, and evaluation of advanced machine-learning models for large-scale structured and transactional data. Partner with engineering, product, and domain experts to translate technical research into scalable, customer-facing capabilities.
