We’re building a relationship-oriented bank for the up-to-date world.

The Quantitative Research

Team at CIBC Global Asset Management is responsible for developing and managing systematic investment strategies across equities and fixed income, as well as improving the investment process of discretionary mandates. As a Quantitative Research Analyst, you’ll contribute to the research and development of systematic active equity strategies with an AUM of over $11 Billion. You’ll support the design and implementation of quantitative models, conduct empirical research, and help translate investment ideas into actionable insights.

Working alongside portfolio managers and senior researchers, you’ll play an important role in advancing alpha research and portfolio construction methodologies. To successfully perform the work, you’ll be on‑site full‑time. In addition to base pay, compensation for this role includes participation in an annual discretionary incentive or bonus program.

Please note, we are open to hiring at either a Quantitative Analyst or a Senior Quantitative Analyst level based on skills and experience. We encourage applications from people at different stages of their career, from recent graduates to experienced professionals. Data Analysis & Insights – Analyze large datasets to identify patterns, test hypotheses, and generate actionable investment insights that support the team’s research agenda.

Research

Support – Collaborate with portfolio managers and senior researchers to translate investment ideas into well‑documented, production‑ready analytics and research findings. Technology & Tools – Support the development and maintenance of analytical tools and codebases, primarily using Python and SQL,



to enhance research workflows and investment processes. Communication – Present research findings and analytical results clearly to diverse audiences, including Analysts, Portfolio Managers, and IT professionals, with varying levels of technical expertise.

You give meaning to data. You can demonstrate experience in Python (required) and SQL (preferred), including strong knowledge of machine learning libraries (e.g., It’s an asset if you have familiarity with quantitative research tools and financial data platforms. You have a degree in a STEM field (Computer Science/Engineering, Physics, Mathematics, Statistics, or a related discipline).

A graduate degree (Master’s or PhD) is preferred. We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points‑based recognition program. You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

We may ask you to complete an attribute‑based assessment and other skills test (such as simulation, coding, French proficiency). We use artificial intelligence tools during the recruitment process.

Machine

Learning (ML) Python (Programming Language) Quantitative Financial Analysis At CIBC, we are in business to help our clients, employees and shareholders achieve what is important to them. Working with CIBC makes you a part of a work environment committed to our clients, employees and communities - a place where you can excel. Every day, our 48,000 employees help our clients achieve their financial goals, because what matters to our clients, matters to us. #

📌 Quantitative Analyst/Senior Quantitative Analyst (Toronto)
🏢 CIBC US
📍 Toronto