Investment Solutions Associate — Hybrid (Quant/Python)

Connor, Clark & Lunn Financial Group (CC&L)

Toronto

Hybrid

CAD 150,000 - 175,000

Full time

2 days ago

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Benefits offered by this job

Hybrid work model

Performance bonus

Job summary

Connor, Clark & Lunn Financial Group seeks an Associate, Investment Solutions to join CC&L One. You will build analytical tools and data pipelines, collaborating with investment teams to shape asset allocation and risk analysis.

The role blends programming, quantitative research, and client-facing support across institutional portfolios. You will develop scalable models and conduct performance analysis for multi-asset solutions, with a hybrid in-office/remote schedule and opportunity to

Qualifications

2–7 years of experience in investments or quantitative research.
Strong Python, SQL, Excel, and data visualization skills.
Experience building analytical tools, models, libraries, or systems.
Familiarity with asset allocation and fixed income is preferred.

Responsibilities

Build and maintain analytical tools and infrastructure in Python for portfolio analytics, risk, and reporting.
Develop data pipelines combining market, economic, portfolio, and liability data.
Research long-term capital market assumptions and scenarios.
Support strategic asset allocation, portfolio optimization, and scenario analysis.
Analyze portfolios across public and private markets and assess risks.
Collaborate with investment teams to translate quantitative research into practical solutions.
Prepare analytical materials for governance, clients, consultants, and RFPs.