Associate, Investment Solutions

Job summary

The Associate will build and maintain analytical tools and infrastructure in Python to support strategic asset allocation, portfolio construction, and risk analysis. They will also collaborate with investment teams to develop data pipelines and conduct complex asset-liability and outcome-oriented portfolio analysis.

Job details

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. Undergraduate or graduate degree in Finance, Economics, Mathematics, Statistics, Actuarial Science, Engineering, Computer Science, Physics, or a related quantitative discipline. 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. #LI-HYBRID #LI-RD1 For a closer look at how you can build your career with us, we invite you to explore cclgroup.com. CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age. 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 talentacqusition@cclgroup.com if you require accommodation. Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.

What you’ll do

The Associate will build and maintain analytical tools and infrastructure in Python to support strategic asset allocation, portfolio construction, and risk analysis. They will also collaborate with investment teams to develop data pipelines and conduct complex asset-liability and outcome-oriented portfolio analysis.

Requirements

Candidates must have 2–7 years of experience in investments or quantitative research and hold an undergraduate or graduate degree in a quantitative discipline. Strong proficiency in Python, SQL, and data management is required, along with a solid understanding of financial modelling and portfolio analytics.

Listed skills

• Data visualization · Preferred
• SQL · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Data pipelines
• Portfolio analytics
• Optimization tools
• Stochastic modelling
• Strategic asset allocation
• Risk analysis
• Financial modelling
• Data visualization
• Statistical analysis
• Fixed income
• Asset-liability analysis
• Quantitative research
• Software development
• Version control
• SQL (Programming Language)
• Data Visualization
• Presentations
• Communication
• Governance
• Problem Solving
• Asset Management
• Investments
• Data Pipelines
• Artificial Intelligence
• French Language
• Consulting
• Economics
• Finance
• Research
• Risk Analysis
• Python (Programming Language)
• Portfolio Optimization
• Data Management
• Hybrid Model
• Request For Proposal
• Computer Science
• Capital Markets
• Mathematics
• Chartered Financial Analyst
• Institutional Investing
• Chartered Alternative Investment Analyst
• Investment Decisions
• Software Development
• Statistical Analysis
• Statistics
• Reporting Processes
• Personal Integrity
• Version Control

Job areas

• Finance & Accounting
• Data & Analytics
• Technology
• Consulting
• Associate Investment Director
• Financial Quantitative Analyst
• Financial Analysts
• Financial Quantitative Analysts
• Financial Specialists, All Other