AI-Driven Investment Banking & Equity Research Analyst

Synthires; Canada; On-site; CAD 294,000 - 432,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Synthires is seeking experienced Investment Banking Associates to support a project integrating AI into investment banking and equity research workflows. Apply expertise in financial modeling, research, valuation, and deal processes to train next-generation AI systems.

No prior AI experience required; domain knowledge matters. Responsibilities include sharing real-world AI workflows, creating example analyses, and evaluating AI outputs.

Qualifications

• Strong background in investment banking, equity research, corporate finance, asset management, or related fields.
• Hands-on experience with financial modeling, research, valuation, and transaction processes.
• Experience using AI platforms for finance, such as Rogo, Hebbia, Model ML, Claude, or similar tools.
• Strong financial analysis, data analysis, and communication skills.
• Ability to explain and document financial workflows clearly.

Responsibilities

• Share real-world workflows for using AI in financial modeling, research, and deal analysis.
• Create example analyses, workflows, and reports using AI platforms.
• Evaluate the accuracy and effectiveness of AI-generated financial outputs.
• Compare traditional financial workflows with AI-enhanced approaches.
• Identify practical benefits, limitations, and opportunities for AI integration.
• Provide clear written and verbal feedback to improve AI tools and workflows.

Skills

Investment banking

Equity research

Corporate finance

Asset management

Financial modeling

Research

Valuation

Transaction processes

Financial analysis

Data analysis

Communication

Tools

Rogo

Hebbia

Model ML

Claude

Job description

Synthires is seeking experienced Investment Banking Associates to support a project integrating AI into investment banking and equity research workflows. Apply expertise in financial modeling, research, valuation, and deal processes to train next-generation AI systems.

No prior AI experience required; domain knowledge matters. Responsibilities include sharing real-world AI workflows, creating example analyses, and evaluating AI outputs.