Top Tech Jobs & Startup Jobs in Montreal

Lead AI-enabled financial planning and strategic analysis, build data-backed business cases, refine unit economics, deliver executive-level insights, integrate ML into FP&A, and track KPIs to drive profitability and strategic decisions.

Review and edit tasks created by professionals across industries to improve clarity, structure, and alignment with quality standards. Provide actionable feedback, apply consulting frameworks, and ensure consistency with project guidelines. Work asynchronously as an independent contractor for a remote AI research project.

Design, implement, and optimize AI-driven solutions across the claims lifecycle (intake, investigation, adjudication). Build ML models for data extraction, fraud detection, reserve setting, subrogation, and adjudication decision engines. Collaborate with underwriting, fraud, legal, and IT to integrate models into operations and improve efficiency, accuracy, and compliance.

Design realistic civil litigation scenarios, draft attorney-level gold-standard responses, evaluate and grade AI-generated legal outputs using structured rubrics, provide detailed written feedback, and participate in onboarding and calibration. Minimum 20 hours/week; remote work across US, Canada, or UK.

Provide private equity expertise to evaluate and create high-quality financial and investment content for training AI systems. Review financial models, market analyses, deal documents, support due diligence, deal sourcing insights, and give structured feedback to improve analytical accuracy.

Provide advanced M&A financial modeling, valuation (DCF, comparables, precedent transactions), and transaction analysis to support deal structuring, due diligence, and strategic recommendations. Quantify synergies, test assumptions, build integrated operating models, and present findings to senior stakeholders in a remote contract role.

Serve as the internal customer advocate and pre-sales technical lead for finance-focused enterprise deals. Configure complex billing, pricing, metering, invoicing, and revenue recognition workflows; build demo environments; engage finance leaders; support RFPs and sandbox configurations; document solutions and handoffs; feed product and engineering with customer insights.

Drive data-informed capital allocation by building financial models (NPV, IRR), applying AI/ML for forecasting and scenario planning, creating build-vs-buy and prioritization frameworks, implementing decision-support systems, collaborating with cross-functional stakeholders, and monitoring post-investment performance to refine allocation models.

Design institutional-quality, transaction-oriented financial modeling tasks and gold-standard reference models to train and evaluate AI. Build and review integrated 3-statement models, DCFs, LBOs, M&A and growth equity frameworks, perform diligence and sensitivity analyses, and document assumptions and methodologies while collaborating asynchronously with AI researchers.

Lead budgeting, forecasting, and variance analysis while building AI-driven financial models, scenario planning, KPIs, and dashboards. Automate FP&A processes, deliver insights to senior leaders, and collaborate with cross-functional teams to improve forecast accuracy and strategic decision-making.