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Financial Engineer Jobs in Ontario (NOW HIRING)

Scotiabank

Software Engineer

Scarborough, ON · Hybrid

About the Role We're looking for an Software Engineer to join our Automotive Finance Engineering team. You will play a key role in developing cloud ready backend services, APIs, and front end ...

Scotiabank

Software Engineer

Toronto, ON · On-site +1

We're looking for an Software Engineer to join our Automotive Finance Engineering team. You will play a key role in developing cloudready backend services, APIs, and frontend components that support ...

Salesforce

Be at the forefront of innovation as a Principal Solution Engineer focused on Financial Services at Salesforce. Drive technological strategies that empower client connections and operational ...

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 ...

Mackenzie Financial Corporation

It offers financial planning and investment services to over two million Canadians through IG ... EndUser Engineer (FullTime) Role Summary We are seeking a full time Senior End User Engineer to own ...

Danmare Group Inc

Financial Accountant

Woodbridge, ON · On-site

AGI is a global leader in the planning, engineering and manufacturing of full solutions and systems ... Support Controller in budgeting, forecasting, and financial reporting * Assist in the preparation ...

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Financial Engineer information

What is the difference between Financial Engineer vs Quantitative Analyst?

AspectFinancial EngineerQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or engineering; often CFA or FRM certificationsDegree in finance, mathematics, or statistics; often CFA or FRM certifications
Work EnvironmentFinancial institutions, hedge funds, investment banksAsset management firms, hedge funds, investment banks
Job FocusDeveloping complex financial models, derivatives pricing, risk managementData analysis, model development, trading strategies
Common UsageDesigning financial products and strategiesAnalyzing data to inform trading decisions

Financial Engineers and Quantitative Analysts share similar educational backgrounds and certifications, often working in similar environments like investment banks and hedge funds. While Financial Engineers focus on creating complex financial models and derivatives, Quantitative Analysts primarily analyze data to support trading strategies. Both roles require strong quantitative skills and contribute to financial innovation and risk management.

What are some common challenges financial engineers face when developing quantitative models, and how can they address them?

Financial Engineers often encounter challenges such as ensuring model accuracy, dealing with incomplete or noisy data, and adapting models to rapidly changing market conditions. Addressing these issues typically requires strong collaboration with data scientists, risk managers, and traders to validate assumptions and stress-test models under various scenarios. Staying current with industry trends and regulatory requirements also helps Financial Engineers maintain robust, compliant solutions that add value to their organizations.

What skills should a financial engineer have?

To thrive as a Financial Engineer, you need a strong background in mathematics, statistics, finance, and programming, typically supported by a degree in quantitative fields such as finance, mathematics, engineering, or computer science. Familiarity with technical tools like Python, R, MATLAB, financial modeling software, and sometimes certifications like CFA or FRM is highly valued. Exceptional problem-solving, analytical thinking, and the ability to communicate complex concepts clearly are vital soft skills. These skills and qualifications are crucial for designing innovative financial models, managing risks, and enabling data-driven decision-making in complex financial environments.

What jobs do financial engineers get?

Financial engineers typically work as quantitative analysts, risk managers, derivatives traders, or financial modelers in banking, investment firms, hedge funds, and insurance companies. They use skills in mathematics, programming, and financial theory to develop models and strategies for trading, risk assessment, and asset management.

What is a financial engineer?

A financial engineer, also called a computational engineer, advises clients on investment strategies and risk management based on quantitative analysis of their portfolio and the atmosphere in the stock market. As a financial engineer, your job duties include analyzing the stock market to predict how stocks will perform, building models of trends in the stock market based on market history, and make recommendations on how to manage their portfolio.

What is a financial engineer?

A Financial Engineer is a professional who applies mathematical techniques, computational tools, and financial theory to solve complex problems in finance. They are often involved in designing financial products, developing risk management strategies, and building quantitative models for pricing, trading, and portfolio management. Financial Engineers typically work for banks, investment firms, or financial technology companies, and their expertise is essential for managing financial risks and innovating new financial instruments.
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What job categories do people searching Financial Engineer jobs in Ontario look for? The top searched job categories for Financial Engineer jobs in Ontario are:
What are popular job titles related to Financial Engineer jobs in ON? For Financial Engineer jobs in ON, the most frequently searched job titles are:
Financial Engineer jobs near you
Infographic showing various Financial Engineer job openings in Ontario as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Software Engineer - Financial Engineering

Spotify

Toronto, ON • On-site

Other

Medical, Dental, Retirement, PTO

Posted 28 days ago

Job description

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.

Spotify's Financial Engineering (FinE) organization ensures that as Spotify grows, our financial systems grow with it. We build the infrastructure and tooling that finance teams across the company depend on to track revenue accurately, report reliably, and reconcile at scale.

The Oracles team sits at the heart of Spotify's financial infrastructure, building the data pipelines and backend services that power our subledger and accounting lifecycle. As part of a broader Financial Engineering initiative, we're standardizing and scaling how accounting data flows across Spotify. You'll partner with engineers, finance teams, and product managers to build reliable, scalable systems that simplify complex financial processes.

We're looking for a Software Engineer who enjoys building reliable, data-intensive systems. You'll help shape the future of Spotify's financial data platform by designing robust data models, developing scalable backend services, and building high-volume data pipelines that power critical financial workflows.

What You'll Do
  • Build, operate, and evolve scalable Scio data pipelines on Google Cloud Platform that process high-volume financial data with accuracy and reliability.
  • Develop and enhance Java backend services that power integrations across Spotify's financial ecosystem.
  • Design and evolve data models and datasets that support accounting, reconciliation, financial reporting, and operational insights.
  • Build and improve integrations with external financial systems to bring critical financial data into Spotify's financial ecosystem.
  • Partner closely with Finance, Product, and Engineering teams to translate accounting requirements into reliable, scalable technical solutions.
  • Improve the scalability, observability, and resilience of financial data pipelines and backend services.
  • Contribute to engineering best practices through continuous delivery, automated testing, monitoring, and thoughtful code reviews.
  • Help drive technical decisions that improve the long-term maintainability of Spotify's financial engineering platform.
Who You Are
  • You have 3+ years of professional experience building backend systems and data-intensive applications.
  • You are experienced with Scala or Java and at least one distributed data processing framework such as Scio, Apache Beam, Spark, or Flink.
  • You know how to design and build reliable backend services and scalable data pipelines that support business-critical workflows.
  • You have experience designing data models that enable accurate, high-volume financial processes.
  • You have worked with workflow orchestration platforms such as Flyte, Airflow, or similar technologies.
  • You care deeply about engineering fundamentals, including continuous delivery, automated testing, monitoring, and writing production-quality code.
  • You enjoy collaborating with cross-functional partners and translating complex business requirements into elegant technical solutions.
  • Experience working within financial, accounting, or other regulated data domains is a plus.
  • A Bachelor's degree or higher in Computer Science or a related field is a plus.
Where You'll Be
  • This role is based in Toronto.
  • We offer you the flexibility to work where you work best! There will be some in-person meetings, while still allowing flexibility to work from home.
The Canada base range for this position is CAD 103,321.00-147,602.00, plus equity. Benefits available for this position include extended health and dental coverage, retirement savings plans, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, and other benefits in accordance with Canadian employment standards. These ranges and benefits may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
 
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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