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Associate Quantitative Risk Analyst Jobs in Toronto, ON

TRP has a current vacancy for a risk analyst to assist with the development of the Target Price for ... Support preparation of inputs for Qualitative and Quantitative Risk Assessments * Coordinate with ...

TRP has a current vacancy for a risk analyst to assist with the development of the Target Price for ... Support preparation of inputs for Qualitative and Quantitative Risk Assessments * Coordinate with ...

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.

Senior Analyst, Counterparty Credit Risk Analytics Group/LOB: Market Risk Location (City): 250 ... Supports the research and development of quantitative risk modeling methodologies and related ...

Risk Analyst

Toronto, ON

CA$60K - CA$80K/yr

Proven quantitative and analytical skills; ability to learn a wide variety of new concepts quickly ... Understanding of financial products, risk-free valuation, Black-Scholes and risk metrics such as ...

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.

Risk Analyst

Toronto, ON

CA$95K - CA$105K/yr

Perform quantitative cost and schedule risk analysis using Risk Management software (e.g. Oracle Primavera Risk Analysis, Acumen Risk, etc.) and provide the interpretation of results (e.g.

Conduct qualitative and quantitative cost and schedule risk analysis. * Review and update project risks (threats and opportunities) as well as treatment plans and actions. * Present findings to the ...

Perform quantitative cost and schedule risk analysis using Risk Management software (e.g. Oracle Primavera Risk Analysis, Acumen Risk, etc.) and provide the interpretation of results (e.g.

Risk Analyst I

Toronto, ON · Hybrid

CA$57K - CA$98K/yr

Bachelor's degree in Risk Management, Actuarial Science, Finance, Economics, Mathematics, Statistics, Data Analytics, Engineering, or a related quantitative discipline. * 1-3 years of experience in ...

Risk Analyst I

Toronto, ON · Hybrid

CA$57K - CA$98K/yr

Bachelor's degree in Risk Management, Actuarial Science, Finance, Economics, Mathematics, Statistics, Data Analytics, Engineering, or a related quantitative discipline. * 1-3 years of experience in ...

Risk Analyst (Credit Risk)

Mississauga, ON · Hybrid

CA$70K - CA$82K/yr

Possess a strong knowledge of quantitative methodologies, risk models, and tools. * Demonstrate strong technical knowledge of statistical analysis and modeling techniques. * Hold a University Degree ...

Risk Analyst (Credit Risk)

Mississauga, ON · Hybrid

CA$70K - CA$82K/yr

Possess a strong knowledge of quantitative methodologies, risk models, and tools. * Demonstrate strong technical knowledge of statistical analysis and modeling techniques. * Hold a University Degree ...

Risk Analyst (Credit Risk)

Mississauga, ON · Hybrid

CA$70K - CA$82K/yr

Possess a strong knowledge of quantitative methodologies, risk models, and tools. * Demonstrate strong technical knowledge of statistical analysis and modeling techniques. * Hold a University Degree ...

Risk Analyst (Credit Risk)

Mississauga, ON · Hybrid

CA$70K - CA$82K/yr

Possess a strong knowledge of quantitative methodologies, risk models, and tools. * Demonstrate strong technical knowledge of statistical analysis and modeling techniques. * Hold a University Degree ...

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Associate Quantitative Risk Analyst information

What does a quantitative risk analyst do?

A quantitative risk analyst evaluates financial risks using mathematical models and statistical techniques to identify potential losses and inform decision-making. They analyze data, develop risk assessment tools, and often use programming languages like Python or R, as well as risk management software, to monitor and mitigate risks within organizations. Strong analytical skills and knowledge of finance and statistics are essential for this role.

What are some common challenges faced by Associate Quantitative Risk Analysts in their first year, and how can they overcome them?

In their first year, Associate Quantitative Risk Analysts often encounter challenges such as adapting to complex financial models, learning to interpret large datasets, and effectively communicating technical findings to non-technical stakeholders. Navigating regulatory requirements and understanding the company's risk management framework can also be demanding. To overcome these obstacles, new analysts should proactively seek mentorship, participate in team discussions, and leverage internal training resources to build both technical and soft skills. Regular collaboration with colleagues in risk, finance, and IT departments can also provide valuable insights and accelerate professional growth.

What is the difference between Associate Quantitative Risk Analyst vs Credit Risk Analyst?

AspectAssociate Quantitative Risk AnalystCredit Risk Analyst
Required CredentialsBachelor's in finance, economics, or related field; often some familiarity with quantitative methodsBachelor's in finance, economics, or related field; certifications like CFA or FRM are common
Work EnvironmentFinancial institutions, risk management teams, quantitative departmentsBanking, lending institutions, credit departments
Employer & Industry UsageUsed in risk modeling, data analysis, and quantitative assessmentsFocuses on assessing creditworthiness and loan risk

The Associate Quantitative Risk Analyst primarily focuses on developing models and analyzing data to measure financial risks, often working with quantitative tools. In contrast, a Credit Risk Analyst concentrates on evaluating the creditworthiness of borrowers and managing credit risk. While both roles require similar educational backgrounds and work within financial institutions, their core responsibilities differ—one emphasizes quantitative modeling, the other credit assessment.

How much does a quant risk analyst make?

The average salary for a quantitative risk analyst is typically between $80,000 and $150,000 annually, depending on experience, location, and the firm. At firms like Morgan Stanley, salaries can vary based on seniority, with entry-level roles starting around $80,000 and more experienced analysts earning over $130,000, often supplemented by bonuses and benefits.

Is a quant analyst high paying?

A quantitative risk analyst typically earns a high salary compared to many other finance roles, especially with advanced skills in mathematics, programming, and data analysis. Compensation varies by industry, experience, and location but often includes bonuses and incentives due to the specialized nature of the work.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $70,000 to $150,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills in programming and risk modeling can earn higher compensation, often supplemented with bonuses and benefits.

What are Associate Quantitative Risk Analysts?

Associate Quantitative Risk Analysts are entry- to mid-level professionals who help financial institutions and organizations assess and manage risk using mathematical models and statistical techniques. They analyze data to identify potential risks, develop risk management strategies, and support decision-making processes. Their work often involves using quantitative software, working with large datasets, and collaborating with other risk management and finance professionals. Typically, they have backgrounds in mathematics, statistics, finance, or related fields.

What are the key skills and qualifications needed to thrive as an Associate Quantitative Risk Analyst, and why are they important?

To thrive as an Associate Quantitative Risk Analyst, you need a strong background in mathematics, statistics, finance, and data analysis, typically supported by a relevant degree such as in finance, mathematics, or economics. Familiarity with statistical software (like R, SAS, or Python), financial modeling tools, and possibly certifications such as FRM or CFA is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and presenting findings. These competencies are essential for accurately assessing financial risks and supporting informed decision-making in risk management environments.
What are popular job titles related to Associate Quantitative Risk Analyst jobs in Toronto, ON? For Associate Quantitative Risk Analyst jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Associate Quantitative Risk Analyst jobs in Toronto, ON look for? The top searched job categories for Associate Quantitative Risk Analyst jobs in Toronto, ON are:

Quantitative Investment & Risk Analyst

Ci

Toronto, ON

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago


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.