Top Tech Jobs & Startup Jobs in Toronto

Lead advanced quantitative analysis of primary market research using methods such as Conjoint, MaxDiff, segmentation, and regression. Design experiments, validate models, interpret results, advise on methodology, partner with cross-functional teams, mentor junior analysts, and help build analytics standards and tools to support multi-market consulting engagements.

Lead product initiatives for Mastercard's Start Path Corporate Membership and Sandbox as a Service. Manage program content, research, events, and client-facing materials; analyze multi-source data to produce reports and recommendations; support global sales conversations; build internal networks and share best practices to scale fintech partnerships and innovation programs.

Lead R&D on ML solutions to detect risks in agentic commerce, prototype models, engineer features, run experiments and validations, and deploy scalable data science systems using Databricks, Spark, and cloud platforms while collaborating with product and engineering teams.

Lead a data science team to design and deliver merchant registry and profiling ML capabilities for onboarding and monitoring. Define strategy, guide model development and validation, promote reusable data assets, partner with Product and Engineering, drive Agile delivery, hire and mentor team members, and communicate impact to senior leadership to scale production ML systems on modern cloud/data platforms.

Lead revenue optimization for Network Services in North America by analyzing portfolio performance, designing revenue management and assurance programs, partnering with Finance/Pricing/Products, driving recovery and conversion initiatives, overseeing rollout and stakeholder communications, and presenting insights to senior leadership to improve yield and profitability.

The Global Economic Intelligence Director oversees product management for economic intelligence solutions, develops go-to-market strategies, manages cross-functional teams, and drives innovation aligned with market needs and client solutions.

Lead development and production deployment of AML machine learning models on large-scale payments data. Own end-to-end problem framing, prototyping, model performance, explainability, and scalability. Collaborate with engineering and product teams to deploy and maintain models, produce clear documentation, and ensure regulatory, privacy, and security compliance.

Lead technical product development for Business Identity offerings: define API and data requirements, prioritize roadmap, coordinate cross-functional teams, manage product lifecycle from discovery to go-to-market, and measure outcomes to ensure scalable, secure identity and intelligence services.

Lead global product strategy and roadmap for Enterprise Loyalty rewards. Translate client and market insights into product opportunities, manage full product lifecycle, support commercialization and go-to-market, enable sales and regional adoption, use data to optimize performance, and collaborate across cross-functional teams and partners to drive scalable rewards solutions that deliver client and consumer value.

Lead Second Line technology risk oversight by applying deep engineering and architecture expertise to ensure security and resilience by design. Challenge technology decisions, partner with senior leaders, drive risk initiatives, evaluate incidents, embed shift-left practices, improve governance and controls, and deliver measurable improvements to Mastercard's technology risk posture.