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Quantitative Risk Jobs in Toronto, ON (NOW HIRING)

Jay Analytix

Quantative Developer

Toronto, ON · On-site

Develop and implement pricing and risk models for derivative products. * Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for ...

Jay Analytix

Quantative Developer

Toronto, ON · Hybrid

Develop and implement pricing and risk models for derivative products. * Translate quantitative models (e.g., Black-Scholes) into production-quality Python code. * Build libraries and tools for ...

Omers

Analyst, Total Plan Risk Management

Toronto, ON · On-site

CA$86K - CA$130K/yr

The Total Plan Risk Management team supports portfolio decision-making by assessing key risk ... This role combines quantitative analysis, governance reporting, and stakeholder engagement to ...

Hatch

Principal Risk Manager

Mississauga, ON · On-site

Facilitate project qualitative risk assessments and Quantitative Cost Risk Analysis (QCRA) and Quantitative Schedule Risk Analysis (QSRA) , including Integrated Cost & Schedule Risk Analysis (ICSRA ...

Hatch

Principal Risk Manager

Mississauga, ON · On-site

Facilitate project qualitative risk assessments and Quantitative Cost Risk Analysis (QCRA) and Quantitative Schedule Risk Analysis (QSRA) , including Integrated Cost & Schedule Risk Analysis (ICSRA ...

goeasy

Risk Analyst (Credit Risk)

Mississauga, ON · On-site

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 ...

goeasy

Risk Analyst (Credit Risk)

Mississauga, ON · On-site

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 ...

Graham

Project Controls Specialist

Toronto, ON · On-site

CA$100K - CA$130K/yr

Manage Risk - Work with the Project Controls Manager and Project Team to support Quantitative Risk Analysis/Assessments when needed. * Standardize Processes - Support the implementation of project ...

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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:

What job categories do people searching Quantitative Risk jobs in Toronto, ON look for?

The top searched job categories for Quantitative Risk jobs in Toronto, ON are:

Quantitative Risk jobs near you
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.

Quantative Developer

Toronto, ON • On-site

Jay Analytix
See more jobs at Jay Analytixexternal

Full-time

Re-posted 6 days ago

Job description

Quantitative Developer

Location: Toronto, Ontario, Canada Hybrid Employment Type: Contract

About the Role

We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing financial models, analytics, and pricing systems used by trading and risk teams. You will work at the intersection of finance and technology, translating sophisticated quantitative models into robust, production-quality code that directly supports trading and risk management decisions.

The ideal candidate brings deep capital markets domain knowledge, strong engineering discipline, and the ability to collaborate closely with quants and traders in a fast-paced, hybrid environment.

Key Responsibilities
  • Develop and implement pricing and risk models for derivative products.
  • Translate quantitative models (e.g., Black-Scholes) into production-quality Python code.
  • Build libraries and tools for portfolio analytics, valuation, and risk measurement.
  • Work closely with quants and traders to refine models and strategies.
  • Perform backtesting and simulation of trading strategies.
  • Validate financial models and ensure the accuracy of calculations.
  • Contribute to the ongoing improvement of analytics infrastructure and code quality.
Required Skills

Quantitative & Finance (Core Focus)

  • Minimum 7 years of experience in a quantitative development or related role.
  • Capital markets domain experience is mandatory.
  • Strong understanding of derivatives, fixed income, and capital markets.
  • Solid grounding in probability, stochastic processes, and statistics.
  • Hands-on experience with pricing models, risk metrics, and financial data.

Technical

  • Advanced Python, including NumPy, Pandas, and SciPy.
  • Strong experience with data analysis and numerical computing.
  • Familiarity with SQL and data handling.
Nice to Have
  • Exposure to C++ for performance optimization.
  • Experience working with quantitative research or trading desks.
  • Familiarity with model validation practices and regulatory expectations.
What We Offer
  • A hybrid work arrangement across major financial hubs in Canada and the USA.
  • The opportunity to work on high-impact pricing and risk systems used by trading and risk teams.
  • A collaborative environment that bridges quantitative finance and software engineering.
How to Apply

Qualified candidates are encouraged to submit a resume outlining relevant experience, including capital markets domain expertise and quantitative development work. We thank all applicants for their interest; only those selected for an interview will be contacted.