Associate, Investment Solutions

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

Interested in joining one of Canada’s top performing asset managers? We are looking for an Associate, Investment Solutions to join our CC&L One team.

CC&L One is CC&L Financial Group’s multi-asset solutions platform, bringing together the breadth of our investment capabilities to create customized solutions for institutional investors. This is an exciting opportunity to join a growing team and play a key role in building the analytical and quantitative tools that support strategic asset allocation, portfolio construction, risk analysis, and customized investment solutions.

If you enjoy solving complex investment problems, working with data and quantitative models, and building tools that can have a real impact on investment decisions, this could be the next great step in your career. You will work closely with the Head of Investment Solutions and collaborate with investment teams across the firm, with the opportunity to build new analytical capabilities from the ground up. Our offices currently operate on a hybrid model with a combination of in-office and remote working days throughout the week.

What You Will Do

• Build and maintain analytical tools and infrastructure in Python, including scenario generators, portfolio analytics, optimization tools, and reporting processes.
• Develop data pipelines that bring together market, economic, portfolio, and liability data from internal and external sources.
• 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, risk, liquidity, cash flows, and portfolio interactions.
• Conduct asset‑liability, pension surplus‑risk, and outcome-oriented portfolio analysis.
• Support the development of customized fixed income and multi‑credit investment solutions.
• Build and monitor risk analysis, including factor exposures, stress testing, drawdowns, liquidity, and concentration.
• Support analytics for pension plans, insurance companies, foundations, endowments, and other institutional investors.
• Prepare analytical materials and presentations for investment governance, client discussions, consultants, searches, and RFPs.
• Help develop and maintain documentation around investment assumptions, models, and methodologies.
• Collaborate with investment professionals and teams across CC&L to turn quantitative research into practical investment solutions.

What You Bring

• 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, including experience with scientific and data libraries, and a strong understanding of software development practices such as version control, testing, and modular design.
• Experience building analytical tools, models, libraries, or systems rather than simply using existing tools.
• Strong SQL and data management skills, as well as advanced Excel and experience with statistical analysis and data visualization.
• Knowledge of optimization, simulation, and stochastic modelling.
• Exposure to strategic asset allocation, fixed income markets, or asset‑liability analysis is preferred.
• Experience with pension, insurance, endowment, risk, actuarial, liability, or factor modelling is an asset.
• Progress toward a CFA, actuarial, CAIA, or FRM designation is an asset.
• French language skills are an asset.
• Strong analytical and problem‑solving skills, with the ability to work effectively with uncertainty and imperfect information.
• A genuine interest in investments and portfolio construction, with the ability to connect quantitative analysis to client objectives.
• Strong communication skills and the ability to explain quantitative concepts clearly to investment, client, and governance audiences.
• A collaborative approach, high integrity, and sound judgment when working with confidential information.

The salary range for this position is $150,000 - $175,000. The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process.

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For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.

We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact [e-mail] if you require accommodation. AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.

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