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Quantitative Risk Jobs in Toronto, ON (NOW HIRING)

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 ...

BMO Capital Markets

Sr. Analyst, CCR Capital

Toronto, ON

CA$67K - CA$124K/yr

Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans. * Monitors risk in strategies and portfolios alongside project managers or ...

PC Financial

Analyst, Credit Risk

Toronto, ON · On-site

CA$52K - CA$71K/yr

Apply statistical techniques and quantitative methods to validate, calibrate, and back test credit risk models. * Engage with partners to understand business requirements and translate them into ...

PC Financial

Analyst, Credit Risk

Toronto, ON

CA$52K - CA$71K/yr

Apply statistical techniques and quantitative methods to validate, calibrate, and back test credit risk models. * Engage with partners to understand business requirements and translate them into ...

SYSTRA

Senior Risk Analyst

Toronto, ON · On-site

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.

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All JobsQuantitative Risk JobsQuantitative Risk Jobs in Toronto, ON

Quantitative Risk information

What is an example of a quantitative risk?

A quantitative risk in a risk analyst role involves measuring potential financial losses using numerical data, such as calculating the probability and impact of market fluctuations on investment portfolios. This often requires skills in statistical analysis, modeling, and tools like Excel or specialized risk management software.

How much do risk quants get paid?

Risk quants typically earn between $100,000 and $200,000 annually, with senior professionals and those in major financial centers earning higher salaries. Compensation often includes bonuses and depends on experience, education, and technical skills such as programming and statistical analysis.

What is the salary of a quant risk analyst?

The average salary of a quantitative risk analyst typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the size of the employer. Senior roles or those with advanced skills in programming and risk modeling can earn higher compensation, often exceeding $200,000 with bonuses and incentives.

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.

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.

What jobs make $1,000,000 a year?

In the field of quantitative risk, high-level roles such as Chief Risk Officer or senior quantitative risk managers at large financial institutions can earn over $1 million annually through base salary, bonuses, and incentives. These positions typically require advanced degrees, extensive experience, and strong skills in risk modeling, data analysis, and financial regulations. Compensation at this level is often tied to company performance and individual contributions.
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

Quantative Developer

Jay Analytix

Toronto, ON • Hybrid

Contractor

Posted 10 days ago

Job description

Quantitative Developer

Location: Toronto or Montreal (Canada) / New York or New Jersey (USA) - HybridEmployment 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.

Employment Type: CONTRACTOR

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