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Quant Developer Jobs in Ontario (NOW HIRING)

NET Developer to join our client's Equity Derivatives technology group. In this role, you will be a ... Collaborate with Quants: Work directly with Quantitative Researchers and Traders to translate ...

Mathematics, Engineering, Physics, Computer Science). * Internship or early-career experience in the front office, ideally in equities, FX, derivatives, or related areas. * Strong quantitative and ...

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline * 3+ years of experience in data engineering, data development, or related ...

We are seeking a highly skilled C++ Developer to design, build, and optimize high-performance ... You will collaborate closely with quantitative analysts, traders, and infrastructure teams to ...

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Quant Developer information

See Ontario salary details

$81.5K

$166.5K

$285K

How much do quant developer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for quant developer in Ontario is $166,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $195,000.00 per year, depending on experience, location, and employer.

How much do quant devs make?

Quant developers typically earn between $100,000 and $200,000 annually, with experienced professionals and those at top firms earning over $300,000 including bonuses. Compensation often depends on experience, location, and the complexity of the models they develop, with many roles requiring strong programming skills in languages like Python or C++ and knowledge of financial markets.

What is a Quant Developer job?

A Quant Developer (Quantitative Developer) is a software engineer who builds and maintains financial models, trading systems, and analytical tools for quantitative analysts and traders. They use programming languages like Python, C++, or Java to develop algorithms that automate trading strategies, risk analysis, and data processing. Quant Developers typically work in hedge funds, investment banks, or proprietary trading firms, collaborating with quants and portfolio managers to optimize trading performance. Strong mathematical skills, proficiency in financial markets, and expertise in software development are essential for this role.

Does JP Morgan hire quants?

JP Morgan actively hires quantitative analysts and developers for roles in trading, risk management, and technology. These positions typically require strong programming skills, knowledge of financial models, and often a background in mathematics or engineering. The firm offers opportunities for quants across various teams and locations, with competitive hiring standards and onboarding processes.

What are some typical challenges quant developers face in their daily work?

Quant developers often work with large, complex datasets and real-time data streams, which can present technical challenges related to performance, accuracy, and scalability. They may need to continuously adapt to changing market requirements or new financial regulations, requiring staying up to date and learning new tools or methods. Collaboration with quants, traders, and other stakeholders is common, so balancing technical problem-solving with effective communication is also important. These challenges make the role both demanding and intellectually rewarding for those passionate about technology and finance.

Is quant developer a good career?

A quant developer is a highly specialized role that involves developing algorithms and models for financial trading and risk management. It typically requires strong programming skills in languages like Python or C++, along with a background in mathematics or finance. The role offers high earning potential and demand in financial firms but often involves long hours and high pressure.

What are the key skills and qualifications needed to thrive in the Quant Developer position, and why are they important?

To thrive as a Quant Developer, you need advanced programming skills (often in Python, C++, or Java), a strong foundation in mathematics or statistics, and a relevant degree such as in computer science, engineering, or quantitative finance. Expertise in numerical libraries, version control systems like Git, and familiarity with financial modeling tools or industry data feeds is highly valuable. Collaboration, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills for this role. These capabilities are essential for designing robust quantitative models and working effectively with cross-functional teams in fast-paced financial environments.

Is 30 too late to become a quant?

Quantitative analyst roles typically require strong backgrounds in mathematics, programming, and finance, often gained through advanced degrees or relevant experience. While starting a career at 30 is possible, it may require additional training or certifications such as a master's in financial engineering or programming skills in Python or C++. Age is less important than skills, experience, and the ability to adapt to a fast-paced, technical environment.
What are the most commonly searched types of Quant Developer jobs in Ontario? The most popular types of Quant Developer jobs in Ontario are:
What are popular job titles related to Quant Developer jobs in Ontario? For Quant Developer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Quant Developer jobs in Ontario look for? The top searched job categories for Quant Developer jobs in Ontario are:
KDB Developer

KDB Developer

Virtusa

Toronto, ON โ€ข On-site

Full-time

Posted 29 days ago


Job description

We are looking for a highly skilled Senior KDB Developer to join our engineering team. The ideal candidate will have strong expertise in kdb /q, real-time data processing, time-series analytics, and production support. This role involves designing high-performance market data solutions, optimizing existing systems, and collaborating with cross-functional teams to deliver scalable and low-latency applications.

Design, develop, and maintain kdb /q applications for real-time and historical data processing

Build scalable and low-latency data pipelines for market data, trading, analytics, or risk systems

Enhance existing q frameworks and optimize performance across applications and databases.

Provide Tier 2 production support, debugging issues, analyzing logs, and resolving data or system problems

Collaborate with business users, quants, analysts, and other engineering teams to understand requirements.


Virtusa logo

About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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