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Financial Engineering Jobs in Toronto, ON (NOW HIRING)

TD Bank Group

Analyste, Risque de marché

Toronto, ON · On-site

$70 - $98/hr

Masters or Bachelors degree in a quantitative discipline such as finance, financial engineering, mathematics, economics, or computer science. * 4+ years of experience in finance / accounting, bank ...

Mattr

Financial Analyst

Concord, ON · Hybrid

CA$70K - CA$75K/yr

Through a portfolio of brands, we offer highly engineered solutions, technology and products to ... Accountant/ Financial Analyst Location: Toronto or Vaughan, Ontario Business Unit: Shawflex ...

PwC

Credit Risk Modelling Senior Associate

Toronto, ON · Hybrid

CA$73K - CA$122K/yr

Master's degreein Statistics, Mathematics, Physics, Engineering, Financial Engineering, DataScienceorother relevant fields * PRM, FRM or CFA designation would be an asset * Proven abilities ...

Sun Life Financial

Engineering Manager

Toronto, ON · Remote

At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security ... As Engineering Manager,you'reaccountable for a single squad's delivery, people development, and ...

Sun Life Financial

Engineering Manager

Toronto, ON · Remote

At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security ... As Engineering Manager,you'reaccountable for a single squad's delivery, people development, and ...

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Showing results 21-40

All JobsFinancial Engineering JobsFinancial Engineering Jobs in Toronto, ON

Financial Engineering information

See Toronto, ON salary details

$28.2K

$101.8K

$185.6K

How much do financial engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for financial engineering in Toronto, ON is $101,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $143,628.00 per year, depending on experience, location, and employer.

What is the difference between Financial Engineering vs Quantitative Analyst?

AspectFinancial EngineeringQuantitative Analyst
Required CredentialsDegree in Financial Engineering, Mathematics, or related fields; often certifications like CQFDegree in Finance, Mathematics, or Statistics; certifications like CFA or CQF are common
Work EnvironmentFinancial institutions, hedge funds, investment banks; focus on product development and risk managementTrading desks, asset management firms; focus on data analysis and model development
Employer & Industry UsageUsed in risk management, derivatives pricing, and structured productsUsed in trading strategies, portfolio management, and risk assessment

Financial Engineering and Quantitative Analysts often share similar educational backgrounds and work in related financial sectors. While Financial Engineers focus on creating financial products and managing risks through complex models, Quantitative Analysts primarily analyze data to inform trading and investment decisions. Both roles require strong quantitative skills and often overlap in financial institutions.

What is financial engineering?

Financial engineering is the application of mathematical techniques, computer science, and statistical methods to solve problems and create innovative solutions in finance. Professionals in this field develop new financial products, manage risk, and optimize investment strategies using quantitative models. Financial engineers often work in banks, investment firms, hedge funds, or financial technology companies, helping organizations manage complex financial systems and products. The discipline combines finance, mathematics, statistics, and programming to address challenges in areas like derivatives pricing, risk management, and portfolio optimization.

What jobs do financial engineers get?

Financial engineers typically work as quantitative analysts, risk managers, derivatives traders, or financial modelers in banks, investment firms, hedge funds, and financial technology companies. They use skills in mathematics, programming, and financial theory to develop models for pricing, trading, and risk assessment. Certifications like CFA or FRM can enhance job prospects in this field.

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

To thrive as a Financial Engineer, you need a strong background in quantitative analysis, mathematics, programming, and finance, typically supported by a relevant degree such as financial engineering, mathematics, or computer science. Expertise in programming languages like Python, R, or C++, as well as familiarity with financial modeling software and risk management systems, is essential. Strong problem-solving, analytical thinking, and communication skills set top performers apart in this role. These skills are crucial for designing innovative financial products, managing complex risks, and translating quantitative insights into actionable business strategies.

What are some common challenges faced by financial engineers when implementing quantitative models in real-world financial institutions?

Financial engineers often encounter challenges such as aligning complex quantitative models with existing IT infrastructure and ensuring the models comply with regulatory requirements. Additionally, translating theoretical models into practical, scalable solutions that can handle large volumes of real-time data requires close collaboration with software developers and risk managers. Effective communication with non-technical stakeholders is also crucial, as financial engineers must explain model assumptions and results to decision-makers from diverse backgrounds.
What are the most commonly searched types of Financial Engineering jobs in Toronto, ON? The most popular types of Financial Engineering jobs in Toronto, ON are:
What job categories do people searching Financial Engineering jobs in Toronto, ON look for? The top searched job categories for Financial Engineering jobs in Toronto, ON are:
Financial Engineering jobs near you
Infographic showing various Financial Engineering job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $101,771 per year, or $48.9 per hour.

Analyst/Consultant, AI/ML Models - Financial Engineering & Modeling (Permanent / Contract)

Deloitte

Toronto, ON • Hybrid

CA$56K - CA$84K/yr

Full-time

Life, PTO

Re-posted 27 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Job Type: Permanent 
Work Model: Hybrid 
Reference code: 133514   
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.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching
--
What will your typical day look like?


In this role you will help financial services industry (FSI) clients face quantitative issues with informed confidence. Using your deep technical skills and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges. 
 
Develop/validate/review Large Language Models models (LLMs) based on industry best practices.
 
You will also be able to learn and work in other quantitative and analytical areas such as credit modeling, forecasting and stress testing and customer behavior modeling. 

About the team


Deloitte’s Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.
 
Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Risk, Regulatory & Forensics at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

Enough about us, let’s talk about you


You are someone with:

  • Relevant experience in AI/ML domain
  • Knowledge of NLP, LLMs (extractive and generative), fine-tuning, development, and deployment of LLM model. Familiar with higher level trends in LLMs and open-source platforms
  • Creatively solution new features for the clients’ Generative AI offerings, including testing, evaluating and benchmarking different LLMs and toolchains
  • Experience with Langchain and RAG
  • Demonstrated hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch or similar statistical tools
  • Solid academic background with a PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • Exceptional problem-solving abilities, meticulous attention to detail and a talent for logical reason
  • Curiosity and enthusiasm about new and unfamiliar technologies with ability to learn technical/scientific concepts quickly with minimal direction
Total Rewards


The salary range for this position is $56,000 - $84,000 (Analyst) or $68,000 - $102,000 (Consultant), 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

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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