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Quantitative Math Jobs in Toronto, ON (NOW HIRING)

Advanced degree in a quantitative discipline (e.g., mathematics, statistics, economics, financial engineering, physics, engineering, finance, or data science) or equivalent experience. * 2-3 years of ...

Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred How We Work Vanguard has ...

Bachelor's and/or Master's degree in business is preferred - quantitative discipline (e.g., economics, statistics, finance, marketing, mathematics, or a related field) is also accepted * Relevant ...

Bachelor's and/or Master's degree in business is preferred - quantitative discipline (e.g., economics, statistics, finance, marketing, mathematics, or a related field) is also accepted * Relevant ...

A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)

S. degree or above with emphasis in Statistics, Economics, Computer Science, Applied Mathematics, Engineering, or related quantitative fields * You embrace and champion change. You'll continuously ...

S. degree or above with emphasis in Statistics, Economics, Computer Science, Applied Mathematics, Engineering, or related quantitative fields * You embrace and champion change. You'll continuously ...

Showing results 41-60

Quantitative Math information

What is a quantitative math job?

A quantitative math job involves applying advanced mathematical and statistical techniques to analyze data and solve complex problems, often in fields like finance, technology, engineering, or research. Professionals in these roles—sometimes called 'quants'—develop mathematical models, algorithms, and simulations to inform decision-making, risk management, or investment strategies. They typically use tools such as programming languages (like Python or R), statistical software, and large datasets. Quantitative math jobs require a strong background in mathematics, statistics, and often computer science, and they are highly valued in industries that rely on data-driven insights.

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

To thrive as a Quantitative Analyst, you need strong skills in mathematics, statistics, and data analysis, usually supported by a degree in mathematics, finance, engineering, or a related field. Familiarity with programming languages such as Python, R, or MATLAB, and experience with financial modeling tools or statistical software, are typically required. Analytical thinking, attention to detail, and effective communication help you interpret complex data and convey insights to stakeholders. These skills are crucial for developing accurate models, making informed financial decisions, and supporting business objectives in data-driven environments.

What are some typical challenges faced by professionals in quantitative math roles, and how can they be addressed?

Professionals in Quantitative Math often encounter challenges such as interpreting complex data sets, developing robust mathematical models, and ensuring accuracy under tight deadlines. Collaboration with cross-functional teams, such as data scientists, financial analysts, and software engineers, is key to overcoming these challenges. Staying current with the latest quantitative techniques and regularly validating models can help maintain high standards of accuracy and relevance.

What is the difference between Quantitative Math vs Data Analyst?

AspectQuantitative MathData Analyst
Required CredentialsMathematics, Statistics, or related degreesStatistics, Data Science, or related degrees
Work EnvironmentFinancial firms, tech companies, research institutionsBusiness, marketing, finance departments
Employer & Industry UsageQuantitative roles in finance, trading, researchBusiness insights, reporting, data visualization

Quantitative Math focuses on developing mathematical models and algorithms often used in finance and research, requiring advanced math skills. Data Analysts interpret data to provide business insights, using statistical tools and visualization. While both roles analyze data, Quantitative Math emphasizes model creation and complex calculations, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various Quantitative Math job openings in Toronto, ON as of September 2026, with employment types broken down into 74% Full Time, 24% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, and 4% Remote job distribution.

Analyst/Consultant - Financial Engineering & Modeling- New Grad 2027 - Toronto

Toronto, ON • Hybrid

Deloitte
Finance and Insurance • 10K+ employees

CA$56K - CA$84K/yr

Full-time

Life, PTO

Posted 20 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Job Type: New Graduate 
Work Model: 
Hybrid 
Reference code: 134591 
Primary Location: 
Toronto, ON  
All Available Locations: 
Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians. 

By living our Purpose, we will make an impact that matters.

--

A career in Financial Engineering & Analytics will offer you the opportunity to work in a fast growing and challenging environment with like-minded people who are eminent in financial risk management 

What will your typical day look like?

As a new graduate on our Financial Engineering & Modeling team, you will: 

  • Provide advisory services in one of the following Financial Risk Streams: 
    • Market Risk 
    • Credit Risk 
    • Liquidity Risk and Treasury Management 
    • AML and Fraud Risk 
    • Investment Risk and Performance 
    • AI/ML modeling  
    • Insurance Risk 
    • Financial Instrument (exotic derivatives) Valuation 
  • Be involved in different risk management consulting projects for our clients 
  • Act as a quantitative finance specialist 
  • Learn and practice financial risk management and OSFI’s financial risk governance and framework 
  • Contribute to practice growth and development 
About the team

The Financial Engineering & Analytics team comprises of an eminent bunch of subject matter experts from Quantitative Finance backgrounds working across all streams of financial risk.  

Working with this team will offer you the opportunity to: 

  • Work in a fast-paced and thought-provoking environment with like-minded people who are experienced and respected in quantitative finance fields 
  • Engage in group works with our team to develop solutions for our clients 
  • Develop professional skills needed to advance in your chosen career path 
  • Gain exposure to high-profile clients including banks, insurance firms, funds, credit unions, asset management companies through a variety of engagement 
Enough about us, let’s talk about you

In this role, the expected qualifications are:  

  • Working towards completing 4th years of undergraduate studies or a master or PhD degree in Physics, Mathematics, Finance, Mathematical Finance, Quantitative Finance, Financial Engineering, Statistics, Econometrics, Computer Science, Actuarial Science or any other relevant programs by September 2027 
  • Enrolled in relevant professional designation (i.e. FRM, PRM, CFA, ASA, FSA) is beneficial, though not required  
  • Strong communication skills (written and verbal), including experience in conducting research, synthesizing data, writing reports and preparing presentations, working in pressure of deadlines  
  • Knowledge about Bloomberg/Reuters, and FINCAD 
  • Good programming skills (e.g. SAS/R/VBA/SQL/C++/Python/Pathwise/AXIS) and knowledge of database tools 
  • Knowledge in the following area would be an asset: 
    • Bloomberg 
    • Capital IQ 
Total Rewards


The salary range for this position is $56,000 - $84,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be.

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want. 

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.


The next step is yours

Apply by  September 18, 2026 at 11:59 pm ET.


To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded
territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.


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