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Quantitative Risk Jobs in Toronto, ON (NOW HIRING)

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 ...

Depth & Scope The Climate Risk Measurement team is seeking an experienced quantitative risk professional to support the development and implementation of TD's physical climate risk measurement ...

Support preparation of inputs for Qualitative and Quantitative Risk Assessments * Coordinate with Estimating Lead and Scheduling Manager to align probability and impact values with validated basis of ...

Support preparation of inputs for Qualitative and Quantitative Risk Assessments * Coordinate with Estimating Lead and Scheduling Manager to align probability and impact values with validated basis of ...

Conducting project and program-level schedule risk workshops/reviews and Quantitative Schedule Risk Assessments (QSRA). * Conducting project and program-level cost risk workshops/reviews and ...

The AVP, Model Validation Quantitative Analyst within the Quantitative Risk Control (QRC) supports best-practice model risk activities consistent with the MUFG Model Governance Program. The models ...

Proven expertise in quantitative risk analysis, including Monte Carlo simulation and schedule and cost risk modelling * Experience planning and facilitating hazard studies such as HAZAN and HAZOP to ...

Integrate quantitative and qualitative risk analysis into project forecasts. * Lead RM3 activities, including audit preparation and coordination. * Act as key contact for audits, inspections, and ...

Developing and undertaking Quantitative Risk Analysis, including Cost, Schedule and integrated Cost and Schedule analysis * Facilitation of risk workshops in the client's environment * Analyze ...

Working closely with Credit Risk Management and Finance to set credit loss provisions for the loan ... You will own the quantitative methodologies for expected credit loss (ECL) and be accountable for ...

Performing integrated quantitative cost and schedule risk analyses using Risk Management software * Delivering clear, actionable risk reporting and dashboards to senior leadership and stakeholders

Senior Risk Coordinator

Toronto, ON ยท On-site

CA$90K - CA$118K/yr

Performing integrated quantitative cost and schedule risk analyses using Risk Management software * Delivering clear, actionable risk reporting and dashboards to senior leadership and stakeholders

Leads and directs the delivery of Project/Programme Quantitative Risk Analysis (cost and time). * Comments on the adequacy of contingency as part of the regular reporting cycle as required.

Leads and directs the delivery of Project/Programme Quantitative Risk Analysis (cost and time). * Comments on the adequacy of contingency as part of the regular reporting cycle as required.

Leads and directs the delivery of Quantitative Risk Analysis (cost and time). * Advises on the adequacy of contingency as part of the regular reporting cycle as required. * Ensures all activities ...

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Quantitative Risk information

What is a quantitative risk analyst?

A Quantitative Risk Analyst is a finance professional who uses mathematical models and statistical techniques to assess and manage financial risks for organizations, particularly in banking, investment, and insurance sectors. They analyze data, develop risk models, and help companies make informed decisions to minimize potential losses. Their work involves programming, data analysis, and communicating complex risk scenarios to stakeholders. Quantitative Risk Analysts play a crucial role in ensuring that organizations remain financially stable and compliant with regulatory requirements.

What are the key skills and qualifications needed to thrive as a quantitative risk analyst, and why are they important?

To thrive as a Quantitative Risk Analyst, you need strong analytical skills, expertise in statistics and mathematics, and a relevant degree such as finance, mathematics, or engineering. Familiarity with statistical software (such as R, Python, or SAS), risk modeling tools, and industry certifications like FRM or CFA is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and convey insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting strategic decisions, and ensuring the financial stability of organizations.

How do quantitative risk professionals typically collaborate with other departments within a financial institution?

Quantitative Risk professionals frequently work with various teams such as trading, portfolio management, compliance, and IT. This collaboration helps ensure that risk models accurately reflect real-world exposures and regulatory standards. Effective communication is key, as Quantitative Risk staff must translate complex data and models into actionable insights for non-technical stakeholders. Regular cross-departmental meetings and project-based collaborations are common, promoting a dynamic and integrated work environment.

What is the difference between Quantitative Risk vs Quantitative Analyst?

AspectQuantitative RiskQuantitative Analyst
Primary FocusAssessing and managing financial risks using quantitative methodsDeveloping models and strategies to analyze financial data and inform investment decisions
Required CredentialsOften requires risk management certifications (FRM, PRM), advanced degrees in finance, mathematics, or statisticsTypically requires degrees in finance, economics, mathematics, or related fields; certifications like CFA may be common
Work EnvironmentFinancial institutions, risk management departments, banksInvestment firms, hedge funds, banks, financial services companies

Quantitative Risk professionals focus on identifying and mitigating financial risks through specialized models, while Quantitative Analysts develop analytical models to support trading, investment, and financial decision-making. Both roles require strong quantitative skills and often similar educational backgrounds, but their core objectives differ: risk management versus financial analysis and strategy development.

How hard is it to become a quantitative risk?

Becoming a quantitative risk professional typically requires a strong background in mathematics, statistics, or finance, often supported by a relevant degree such as a master's or Ph.D. in a quantitative field. Developing skills in programming languages like Python or R and understanding financial models are also important, and obtaining certifications such as FRM or CFA can enhance job prospects. The role demands analytical ability, attention to detail, and the capacity to work with complex data sets, making it a challenging but attainable career path for those with the right skills and education.

How much do quantitative risk analysts make?

Quantitative risk analysts typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Senior analysts or those in high-demand financial centers can earn over $150,000, often supplemented by bonuses and benefits. Strong skills in statistics, programming, and risk modeling tools are essential for higher compensation.

What are the most commonly searched types of Quantitative Risk jobs in Toronto, ON?

The most popular types of Quantitative Risk jobs in Toronto, ON are:

What are popular job titles related to Quantitative Risk jobs in Toronto, ON?

For Quantitative Risk jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Quantitative Risk job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution.

Quantitative Investment & Risk Analyst

Ci

Toronto, ON โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

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, decisionuseful insights.
This position will support the Investment and Product team at Company by delivering data-driven insights that inform strategic investment decisions and product development. Reporting to the Director, Business Analytics & Insights, this individual will be responsible for gathering, analyzing, and interpreting complex investment and product-related data to support initiatives that enhance portfolio performance, product positioning, and market competitiveness. This role is ideal for a detail-oriented, analytical professional who is passionate about leveraging data to optimize investment outcomes and guide high-impact business strategies.

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 handson role involving large-scale data, analytical production, and close partnership with both investment and technology teams.

Key Responsibilities

Deliver DecisionUseful 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, selfserve 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 deepdive 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, stakeholderfriendly language.

Qualifications

Required

  • Bachelor's degreein a relevant discipline (e.g., Finance, Economics, Mathematics, Statistics, Data Science, Data Engineering) or equivalent practical experience.

  • 7 yearsof 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 proficiencywith 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 Snowflakeor 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 CFAor 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

  • Modern HQ location within walking distance from Union Station
  • Training Reimbursement
  • Paid Professional Designations
  • Employee Savings Plan (ESP)
  • Corporate Discount Program
  • Enhanced group benefits
  • Parental Leave Top-up program
  • Paid time off for Volunteering

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.

Please submit your resume in confidence by clicking "Apply". Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates ("CI") are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us ataccessible.recruitment@ci.com, or call 416-364-1145 ext. 4747.