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Graduate Quant Jobs in Toronto, ON (NOW HIRING)

University of Toronto

Data Specialist

Scarborough, ON · On-site

... strong quantitative focus, Computer Science, Informatics or related field, or equivalent ... Strong collaboration skills with experience working with faculty, staff, administrators, graduate ...

Td

Full Stack Data Science Engineer

Toronto, ON · On-site

CA$120K - CA$154K/yr

A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance ...

Td

Applied Machine Learning Scientist II

Toronto, ON

CA$125K - CA$154K/yr

Education & Experience Undergraduate degree in Science, Technology, Engineering, Mathematics, Economics, Finance, or a related quantitative discipline. Graduate degree is considered an asset. 5+ ...

Td

Associate Director, Capital Solutions, TDIP

Toronto, ON

CA$96K - CA$136K/yr

  • Medical

  • Retirement

  • PTO

An undergraduate or graduate degree in Business, Economics, Finance or other quantitative discipline. * MBA, CPA or CFA would be an asset. Qualifications/Skills/Experience: * Minimum of 3-5 years of ...

Sun Life Financial

AI Engineer

Toronto, ON · On-site

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. * Experience building Conversational and Agentic AI solutions.

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Graduate Quant information

What is a graduate quant?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What are some typical challenges faced by graduate quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

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

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

What job categories do people searching Graduate Quant jobs in Toronto, ON look for?

The top searched job categories for Graduate Quant jobs in Toronto, ON are:

Graduate Quant jobs near you
Infographic showing various Graduate Quant job openings in Toronto, ON as of August 2026, with employment types broken down into 3% As Needed, 74% Full Time, 20% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Senior Manager, ALM Risk Modelling

Scotiabank

Toronto, ON • Hybrid

Full-time

PTO

Posted 6 days ago

Job description

Requisition ID: 269546 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

We are responsible for modelling the interest rate risk of all assets and liabilities on Scotiabank's balance sheet, directly impacting the Bank's rate positioning and FTP. Our team brings together quantitatively minded professionals with diverse backgrounds in mathematics, statistics, physics, and computer science to foster creative approaches to customer behaviour modelling, such as mortgage prepayment and deposit behaviour.

Is this role right for you? In this role you will:

  • Take a balance sheet position and model it from start to finish, using historical and exogenous data to support calibration
  • Liaise with our business counterparts to understand the nuances of behavioural components and options risk to support development of bespoke models. Work with local and international business units to review datasets
  • Regularly present model analysis and proposals to stakeholders and senior management
  • Design and code models following software best practices to ensure optimal use of computing resources, streamlining operations and maintenance

 

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

  • Graduate degree in physics, engineering, statistics, or other quantitative discipline, or commensurate experience
  • Experience building a statistical or mathematical model
  • The ability to distill complex ideas into simple terms to support decision making
  • Knowledge of structural interest rate risk modelling, ALM, or derivatives pricing is a bonus
  • A software engineering mindset is essential for our work. Python programming is a bonus

 

What's in it for you?

  • A rewarding career path with diverse opportunities for professional development
  • An organization committed to making a difference in our communities - for you and our customers.
  • A competitive rewards program that includes an annual bonus, flexible vacation, personal and sick days, and comprehensive benefits that start on your first day.
  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employees to learn, grow, and participate through our various Employee Resource Groups (ERGs), which span diverse gender identities, ethnicities, races, ages, abilities, and veteran statuses.
  • Accessibility and Workplace Accommodations - We value the unique skills and experiences every individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove, and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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