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Quantitative Associate Jobs in Toronto, ON (NOW HIRING)

Associate

Toronto, ON ยท On-site

Salary: $70,000 + Bonus The Opportunity As an Associate, youll be a key contributor across all ... Strong Analytical & Quantitative Capabilities: Strong analytical and quantitative skills, with ...

Associate

Toronto, ON ยท On-site

Strong Analytical & Quantitative Capabilities: Strong analytical and quantitative skills, with comfort working in pricing, sales, and financial data * Commercial / Growth Mindset: Strategic, growth ...

As a Senior Associate II at Curinos you will take on real responsibility and be exposed to a ... or a related quantitative field; masters or MBA preferred Why work at Curinos? * This is a ...

We're hiring a Business Operations Associate to join our core team and work directly with the ... Build business cases and quantitative models that inform go/no-go decisions on new games ...

Research Associate based in the Greater Toronto Area Working with a team in Toronto, you will be ... Experience working with quantitative and/or qualitative consumer/customer research methodologies ...

The Pension Risk Transfer (PRT) Actuarial Associate III plays an important role in supporting ... Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related quantitative ...

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Quantitative Associate information

See Toronto, ON salary details

$9

$48

$77

How much do quantitative associate jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for quantitative associate in Toronto, ON is $48.73, according to ZipRecruiter salary data. Most workers in this role earn between $31.43 and $58.73 per hour, depending on experience, location, and employer.

How does a quantitative associate typically collaborate with traders and technology teams in a financial firm?

Quantitative Associates often work closely with traders to understand their strategies and provide data-driven insights that improve trading outcomes. They also collaborate with technology teams to implement models into production systems, ensuring that algorithms are both effective and efficient. This cross-functional teamwork requires strong communication skills and a willingness to learn from professionals in different disciplines. Regular meetings, joint problem-solving sessions, and collaborative project management tools are commonly used to keep everyone aligned and drive successful outcomes.

What is the difference between Quantitative Associate vs Quantitative Analyst?

AspectQuantitative AssociateQuantitative Analyst
Required CredentialsTypically a master's degree in finance, mathematics, or related field; strong programming skillsSimilar educational background; often requires advanced quantitative skills and certifications
Work EnvironmentFinancial firms, hedge funds, asset management; collaborative teamsSame as Quantitative Associate; focused on model development and data analysis
Employer & Industry UsageCommon in investment banks, hedge funds, asset managersUsed interchangeably in many firms; both roles involve quantitative modeling
Search & Comparison IntentHigh overlap; both roles involve quantitative analysis and modeling

Both Quantitative Associates and Quantitative Analysts work in similar environments, requiring advanced degrees and strong analytical skills. The roles often overlap in responsibilities, focusing on developing models, analyzing data, and supporting trading or investment decisions. The main difference may lie in job titles used by different firms, but their core functions are quite comparable.

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

To thrive as a Quantitative Associate, you need strong quantitative analysis skills, advanced knowledge of mathematics and statistics, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency in programming languages like Python or R, data analysis tools, and experience with financial modeling platforms are commonly required. Attention to detail, problem-solving abilities, and effective communication help you translate complex data insights into actionable business strategies. These skills are critical for developing accurate models, managing risk, and supporting data-driven decision-making in financial environments.

What is a quantitative associate?

Quantitative Associates are professionals who use mathematical, statistical, and computational techniques to analyze financial data and develop models for decision-making in fields such as banking, investment, and risk management. They often support senior quantitative analysts or traders by implementing algorithms, conducting data analysis, and providing insights to improve business strategies. These roles typically require strong skills in programming, mathematics, and finance, and are commonly found in investment banks, hedge funds, and financial technology firms.
What are the most commonly searched types of Quantitative jobs in Toronto, ON? The most popular types of Quantitative jobs in Toronto, ON are:
What are popular job titles related to Quantitative Associate jobs in Toronto, ON? For Quantitative Associate jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Quantitative Associate jobs in Toronto, ON look for? The top searched job categories for Quantitative Associate jobs in Toronto, ON are:
Infographic showing various Quantitative Associate job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $101,356 per year, or $48.7 per hour.

Associate Director, Enterprise Model Risk Management

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

Re-posted 11 days ago


Job description

Job Description

What is your opportunity?

As Associate Director, Enterprise Model Risk Management (EMRM) in our Group Risk Management (GRM) team, you will be responsible for end-to-end execution and documentation of credit risk model validation projects within RBC's Canadian Banking platform. Your role is to independently assess and provide an objective opinion on the soundness of credit risk models using both qualitative and quantitative industry best practices. Specific activities include collaborating with model developers, opining on the adequacy of model documentation, assessing the suitability of models for their intended purpose, reviewing data inputs and outputs, building benchmark models to support validation conclusions, ensuring compliance with internal policies as well as regulatory requirements, communicating validation results, and providing recommendations for improvements.

What will you do?

  • Perform initial review and validation of newly developed credit models and make recommendations supporting use of the model.

  • Employ various quantitative and qualitative techniques to review, test, replicate, challenge, benchmark and assess credit risk models.

  • Utilize strong analytical and written communication skills to execute ongoing model validations once models reach their expected outcome period for all Canadian Banking credit risk models as governed by RBC's Enterprise Model Risk Management policy.

  • Develop comprehensive reports summarizing key observations, conclusions, and recommendations in support of completed model validations.

  • Ensure model validations are planned and completed in accordance with timelines established in the Enterprise Model Risk policy based on each model's materiality and uncertainty rating.

What do you need to succeed?

  • 3 + years of model development or model validation experience, preferably related to credit risk models used within the financial services industry.

  • Hands-on experience with artificial intelligence / machine learning modeling techniques (deep learning, XGboost) as well as logistic regression modeling techniques.

  • Proficient Python programmer with a proven track record of delivering high-quality code.

  • Comfortable working with large data sets. Solid understanding of data extraction and data mining, proficiency in SQL.

  • Strategic thinker with superior interpersonal, verbal and written communication skills and with strong consensus-building skills.

  • Post graduate degree in a quantitative field of study (i.e. PhD, Master of Mathematical Finance, Statistics, Computer Science, Applied Mathematics, Data Science or comparable).

Nice-to-Haves:

  • Knowledge of Canadian retail banking products and processes. A strong understanding of retail credit risk modeling theories, principles and industry best practices.

  • A strong understanding of RBC's policies, procedures, systems, risk appetite, risk tolerance, strategies and the overall role of risk management within RBC is a definite asset.

  • Experience with Hadoop, Spark, object storage solutions. Familiar with Tableau or other data visualization tools. Experience with version control tools (git).

What's in it for you?

We thrive on the challenge to be our best, thinking progressively to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in an agile, collaborative, progressive, and high-performing team

  • The opportunity to interface with executives from many different parts of the organization

Job Skills

Critical Thinking, Economic Analysis, Risk Control, Scoring Models

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-02-22

Application Deadline:

2026-08-08

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Employment Type: FULL_TIME