Top Tech Jobs & Startup Jobs in Toronto

Support pre-sales through product demonstrations, value proposition development, demo environment design, requirements gathering, documentation, presentations, and RFP/RFI responses. Act as the liaison between Sales and Financial Engineering, translating prospect needs and coordinating technical resources. The role requires expertise in wealth, portfolio, or risk management, strong presentation skills, and the ability to explain complex financial technology concepts to prospects and clients.

Leads the company’s financial strategy, capital planning, treasury, financial operations, risk management, budgeting, forecasting, investor relations, banking relationships, and regulatory compliance. Partners with executives, the board, investors, and People teams on strategic decisions, payroll, resource planning, and profitability. The role also develops scalable finance processes and will eventually build and mentor a high-performing finance team.

Provides operational and administrative support to wealth management clients using the d1g1t platform. Responsibilities include client support, platform configuration, user onboarding, reconciliation, software testing, documentation, training, reporting, dashboard development, and identifying product improvements. The role works closely with clients and product teams while analyzing and organizing financial data using spreadsheets, SQL, and Python.

Hands-on senior backend engineer role building and maintaining Python/Django services. Design, implement, test, deploy, and support backend features, optimize performance, debug across systems, work with large datasets, REST APIs, background jobs, and PostgreSQL. Collaborate with Product and Engineering and own features end-to-end.

Design, implement, and maintain scalable Python/Django infrastructure and distributed systems on AWS. Own features from conception to deployment, troubleshoot complex issues, optimize database performance, and collaborate with product and engineering teams to deliver production-ready, well-tested solutions for large datasets.

The VP Client Success and Support leads post-implementation client experience, retention strategies, and team development to enhance customer success and support.

Design and implement scalable ETL/data pipelines using Python and Airflow; collaborate with technical and non-technical stakeholders to define requirements; build internal tools; mentor and lead small engineering pods; ensure reliable integration architecture and database schema/performance optimization; explore and apply AI technologies to enhance the platform.

The Client Solution Architect will lead complex implementations, drive client engagement, mentor teams, and establish standards within wealth management solutions.