Quantitative Investment Solutions Associate

Connor, Clark & Lunn Financial Group; Toronto; Hybrid; CAD 150,000 - 175,000; Full time

Job summary

Connor, Clark & Lunn Financial Group seeks an Associate, Investment Solutions for CC&L One. You will build analytical tools in Python, develop data pipelines, and research capital market scenarios to support strategic asset allocation and portfolio construction.

You will collaborate with investment teams to turn quantitative research into practical investment solutions, with a hybrid in-office/remote schedule. Strong Python/SQL skills and a CFA progress path are highly valued.

Qualifications

• 2–7 years of experience in investments, quantitative research or development, portfolio analytics, asset allocation, actuarial or investment consulting, or insurance asset management.
• Strong Python skills with scientific/data libraries and software development practices.
• Experience building analytical tools, models, libraries, or systems.
• Strong SQL and data management skills; data visualization experience.
• Knowledge of optimization, simulation, and stochastic modelling.

Responsibilities

• Build and maintain analytical tools and infrastructure in Python, including scenario generators and reporting processes.
• Develop data pipelines that integrate market, economic, portfolio, and liability data.
• Research and develop long-term capital market assumptions and economic scenarios.
• Support strategic asset allocation, portfolio optimization, and scenario analysis.
• Analyze portfolios across public and private markets, including return drivers and risk.
• Conduct asset‑liability, pension surplus‑risk, and liability analyses.
• Support development of customized fixed income and multi‑credit solutions.
• Build and monitor risk analysis including factor exposures and stress testing.
• Provide analytics for pension plans, insurance, foundations, endowments and other institutions.
• Prepare analytical materials and presentations for governance, clients and searches.
• Help document investment assumptions, models and methodologies.
• Collaborate with CC&L teams to translate quantitative research into practical solutions.

Skills

Analytical thinking

Communication

Collaboration

Problem solving

Education

Bachelor's degree in Finance/Economics

Progress toward CFA/CAIA/FRM

Tools

Python

SQL

Excel

Job description

Connor, Clark & Lunn Financial Group seeks an Associate, Investment Solutions for CC&L One. You will build analytical tools in Python, develop data pipelines, and research capital market scenarios to support strategic asset allocation and portfolio construction.

You will collaborate with investment teams to turn quantitative research into practical investment solutions, with a hybrid in-office/remote schedule. Strong Python/SQL skills and a CFA progress path are highly valued.