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Algorithmic Trading Developer Jobs in Ontario (NOW HIRING)

... trading. You will design robust state machines and event-driven microservices that power order ... Exceptional algorithm design, problem-solving, and API design skills. * Domain Passion: Strong ...

Regularly collaborate with Capital Markets Trading and Quant teams through all stages of the ... algorithms, threading & concurrency * Working knowledge of SQL, Apache Ignite, Solace, Maven, Unix ...

Develop algorithms and architectures for adaptive equalization, maximum likelihood sequence ... Conduct design trade-offs to meet stringent performance, power, and area targets. * Analyze channel ...

Lead trade studies balancing performance, cost, risk, and schedule * Lead the definition ... Oversee the integration of visual navigation sensors (e.g., cameras, LIDAR), and GN&C algorithms ...

Understanding of technical trade-offs and the YAGNI (You Aren't Gonna Need It) principle ... Solid grasp of computer science and algorithm fundamentals. * Innovative Debugging : Exceptional ...

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Algorithmic Trading Developer information

See Ontario salary details

$45.5K

$157.5K

$359K

How much do algorithmic trading developer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for algorithmic trading developer in Ontario is $157,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,000.00 and $168,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Algorithmic Trading Developer, and why are they important?

To thrive as an Algorithmic Trading Developer, you need strong programming skills (especially in Python, C++, or Java), a solid grasp of quantitative finance, and typically a degree in computer science, mathematics, or related fields. Expertise in trading platforms, financial data APIs, and familiarity with machine learning libraries and version control systems is common, alongside relevant certifications like CFA or CQF. Exceptional analytical thinking, attention to detail, and problem-solving abilities are crucial soft skills for success in this role. These capabilities enable developers to design, test, and optimize trading algorithms that perform reliably and profitably in dynamic financial markets.

What is the difference between Algorithmic Trading Developer vs Quantitative Analyst?

AspectAlgorithmic Trading DeveloperQuantitative Analyst
Required CredentialsBachelor's or Master's in Computer Science, Finance, or related fields; programming skillsDegree in Mathematics, Statistics, Finance, or Economics; strong analytical skills
Work EnvironmentDevelops trading algorithms, codes, tests, and implements trading systemsBuilds models, analyzes data, and provides trading insights
Employer & Industry UsageFinancial firms, hedge funds, trading firms focusing on system developmentInvestment banks, hedge funds, asset managers focusing on data analysis

While both roles work within the finance industry and require quantitative skills, Algorithmic Trading Developers primarily focus on coding and implementing trading algorithms, whereas Quantitative Analysts analyze data and develop models to inform trading strategies.

What is an Algorithmic Trading Developer?

An Algorithmic Trading Developer is a software professional who designs, builds, and maintains computer programs (algorithms) that automatically execute trades in financial markets. These developers combine knowledge of programming, quantitative analysis, and financial markets to create strategies that can analyze market data and place trades faster and more efficiently than human traders. Their work often involves working with large datasets, optimizing code for speed, and ensuring low-latency execution. They may also collaborate with traders and quantitative analysts to implement and test new trading ideas.

What are some common challenges Algorithmic Trading Developers face when deploying new trading strategies?

Algorithmic Trading Developers often encounter challenges such as ensuring low-latency execution, accurately backtesting strategies with real-world data, and managing the risks of live trading. Deployment requires close collaboration with quantitative analysts, traders, and IT teams to validate models and maintain robust infrastructure. Additionally, developers must monitor for unexpected market conditions and quickly address any system failures or regulatory changes that could impact trading performance.
What are popular job titles related to Algorithmic Trading Developer jobs in Ontario? For Algorithmic Trading Developer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Algorithmic Trading Developer jobs in Ontario look for? The top searched job categories for Algorithmic Trading Developer jobs in Ontario are:
What cities in Ontario are hiring for Algorithmic Trading Developer jobs? Cities in Ontario with the most Algorithmic Trading Developer job openings:
Principal Security Architect

Principal Security Architect

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Description

What is the opportunity?

We are seeking a seasoned enterprise security architect to develop and implement security frameworks for AI systems. As the Enterprise Security Architect, you will be a key member of our architecture team, responsible for designing, defining, and deploying secure patterns and standards that ensure the highest level of security and compliance for our AI initiatives.

The scope of this role is significant, as the security reference architectures and governance frameworks you develop will be used by all AI implementations across the enterprise, impacting thousands of users and critical business systems. You will play a critical role in ensuring that our organization safely adopts AI innovation while meeting regulatory requirements across multiple jurisdictions and maintaining business objectives.

What will you do?

  • Define security reference architectures and reusable security patterns for AI systems that solution architects can effectively implement.

  • Work closely with solution architects to ensure they properly apply security patterns and select appropriate technologies for agentic AI / Gen AI implementations.

  • Recommend security capabilities and technologies to platform teams to enable secure operation of AI platforms.

  • Develop security standards and best practices that become reusable patterns across the enterprise.

  • Research emerging AI security threats and translate findings into actionable guidance for solution architects and platform teams.

  • Create architectural blueprints and decision frameworks that guide teams toward secure AI implementations.

  • Map regulatory requirements (OSFI E-23, SR 11-7, EU AI Act) to architectural patterns and provide compliance guidance to implementation teams.

  • Assess and recommend security technologies and tools that platform teams should adopt to build secure AI platforms.

  • Collaborate with enterprise architecture teams to ensure AI security patterns integrate with broader enterprise standards.

  • Present architectural guidance and recommendations to senior stakeholders and technical teams.

What do you need to succeed?

Must have:

  • 5+ years of enterprise security architecture experience.

  • Deep knowledge of security frameworks (NIST, ISO 27001, Zero Trust) and cloud-native security technologies.

  • Understanding of AI/ML systems architecture including LLMs, vector databases, and agentic AI patterns.

  • Knowledge of financial services regulations (OSFI guidelines, SR 11-7, Model Risk Management) and AI-specific regulations (EU AI Act, NIST AI RMF)

  • Strong communication skills with ability to translate complex technical concepts into business language for executive audiences.

  • Experience with threat modeling, risk assessment frameworks, and security analysis for emerging technologies.

  • Understanding of authentication protocols (OAuth 2.1, OIDC, SAML, mTLS) and enterprise integration patterns.

Nice to have:

  • Security certifications (CISSP, SABSA) or cloud security certifications (AWS Security Specialty, Azure Security Engineer)

  • Experience with AI security tools and adversarial testing methodologies.

  • Previous experience implementing AI systems in regulated financial environments and algorithmic trading security requirements.

  • Active participation in AI security research communities (OWASP AI Security, MITRE ATLAS) or published thought leadership.

  • Multi-jurisdictional regulatory experience and cross-border data governance knowledge for AI systems.

  • Experience with FINOS frameworks, SPIFFE/SPIRE for workload identity, or service mesh architectures for AI workloads.

  • Previous experience in large financial services organizations.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

  • Leaders who support your development through coaching and managing opportunities.

  • Ability to make a difference and lasting impact.

  • Work in a dynamic, collaborative, progressive, and high-performing team.

  • A world-class training program in financial services.

  • Opportunities to do challenging work.

  • Opportunities to take on progressively greater accountabilities.

#LI-POST

#TECHPJ

Job Skills

Active Learning, Agile Methodology, Decision Making, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Long Term Planning, Programming Languages, Software Development Life Cycle (SDLC)

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-05-26

Application Deadline:

2026-06-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME