At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.
CI GAM is advancing its investment analytics capabilities to better support Portfolio Managers and product/investment stakeholders through more technology-enabled, insight-driven analysis. This role sits at the intersection of investment analytics, quantitative/risk methodologies, and data/technology execution. The successful candidate will play a key role in transforming complex fund and portfolio datasets into clear, decision‑useful insights.While broad expertise is not required, candidates must demonstrate strong proficiency in SQL and data fundamentals, along with credible depth in investment analytics or quantitative/risk foundations (ideally both). This is a hands‑on role involving large-scale data, analytical production, and close partnership with both investment and technology teams.
Key Responsibilities
Deliver Decision‑Useful Insights
Partner with Portfolio Managers and investment stakeholders to translate analytical questions into structured analyses that directly inform investment decisions.
Investigate performance and risk outcomes; identify key drivers, notable shifts, anomalies, and emerging themes across funds and portfolios.
Own the Data-to-Insight Workflow
Use advanced SQL to extract, join, transform, and validate large datasets across holdings, performance, risk, and reference/security data.
Build analysis-ready datasets and reusable outputs that enhance consistency, efficiency, and scalability.
Performance & Risk Reporting & Dashboarding
Develop and maintain recurring performance, risk, product, and portfolio analytics reports for investment leadership.
Support competitive and peer analysis to inform portfolio construction and product positioning.
Enable Automation and Scalable Analytics
Contribute to automation initiatives and tooling that enhance the efficiency and sustainability of analytics and reporting workflows.
Support the evolution toward more technology-enabled, self‑serve analytics for investment and product teams.
Strengthen Data Quality and Platform Foundations
Collaborate with data engineering and technology partners to define business logic, document requirements, validate implementations, and drive consistency in business rules and definitions.
Contribute to data quality checks, controls, and metadata/lineage improvements across analytics processes.
Conduct Targeted and Strategic Analysis
Execute ad hoc deep‑dive analyses to support strategic initiatives, or address questions from senior investment and product leadership.
Communicate findings clearly, with emphasis on assumptions, logic, and decision relevance.
Communicate and Document with Precision
Produce clear, structured documentation that is testable and implementable by data engineering teams.
Present analytical outcomes in concise, stakeholder‑friendly language.
Qualifications
Required
Bachelor’s degree in a relevant discipline (e.g., Finance, Economics, Mathematics, Statistics, Data Science, Data Engineering) or equivalent practical experience.
3–5 years of relevant experience in investment analytics, portfolio analytics, performance/risk analytics, or data-driven investment support—preferably within an asset manager or asset owner environment.
Advanced SQL proficiency with the ability to independently manage large relational datasets and complex joins.
Familiarity with market/investment data platforms.
Strong quantitative reasoning and comfort working with imperfect or incomplete data while maintaining analytical rigor.
Excellent attention to detail, strong business logic, and a high standard for accuracy and consistency.
Strong written and verbal communication skills; effective when working across investment, product, and technology teams.
Assets (Nice-to-Haves)
Experience with Snowflake or other modern data platforms; knowledge of data warehousing concepts.
Familiarity with factor-based risk platforms.
Experience with Tableau or similar visualization tools.
Programming skills (eg, Python) for analytics, automation, or prototyping.
Exposure to data architecture, data modeling, metadata, lineage, or data engineering workflows.
Progress toward or completion of CFA or FRM.
This opportunity is for an existing vacancy with the company. The anticipated base salary range for this position is $69,500 - $119,500. Exact salary depends on several factors such as experience, skills, education, and budget. Salary range may vary based on geographic location. In addition to base salary, this position is eligible for participation in a bonus program. In addition, The Company offers a variety of benefits to eligible employees, including health insurance coverage, wellness programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company.
CI Financial is an independent company offering global wealth management and asset management advisory services through diverse financial services firms. Since 1965, we have consistently anticipated and responded to the changing needs of investors. We are driven by a commitment to provide individuals and institutions with the highest-quality investments and advice. Our commitment to the highest levels of performance means that whatever their position, CI employees must be comfortable in a fast-paced environment that will stretch them to tap into their highest potential. Employees with a healthy dose of ambition, a desire to commit to a curious mindset for continuous learning, and a willingness to go the extra mile thrive at CI.
A Supportive Environment for Success
We offer an in-office environment, competitive benefits, and a supportive workplace to help our employees thrive both personally and professionally.
WHAT WE OFFER
We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.
Quantitative Investment & Risk Analyst • Toronto, Ontario, CA