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Algorithmic Trading Developer Jobs in Ontario (NOW HIRING)

Scotiabank

Senior Data Scientist

Toronto, ON · On-site +1

  • PTO

Financial modeling and analytical algorithms * Assess technical trade-offs across build vs. buy ... Degree in Mathematics, Computer Science, Engineering, Physical Sciences, or a related quantitative ...

Synechron

Sr. GenAI Engineer

Toronto, ON · Hybrid

CA$130K - CA$145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and ... Strong knowledge of algorithms, data structures, and distributed computing environments. Preferred ...

Olg

Software Engineering Level 3

Sault Sainte Marie, ON · On-site

  • Retirement

  • PTO

Manage software releases and deployment activities, leveraging automation and DevOps practices to ... algorithms, software architecture, integration patterns, and modern application development.

Olg

Software Engineering Level 3

Toronto, ON · On-site

  • Retirement

  • PTO

Manage software releases and deployment activities, leveraging automation and DevOps practices to ... algorithms, software architecture, integration patterns, and modern application development.

Analogdevices

Staff RF Product Engineer

Ottawa, ON

... complex DSP algorithms Why You'll Love Working at ADI At Analog Devices, you'll be part of a ... S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this ...

Autodesk

Job Requisition ID # 26WD98722 Position Overview Autodesk's domains - architecture, engineering ... Develop novel algorithms that improve model reliability, controllability, and alignment * Make ...

Rogers Communications

Principal Data Scientist

Brampton, ON · On-site +1

  • Medical

  • Dental

  • Retirement

  • PTO

Lead the development of advanced algorithmic modelling, big data processing, and AI/ML solutions ... A degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Data ...

Ciena

Senior ASIC Design Engineer - Client IP

Ottawa, ON

CA$109K - CA$174K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You are accountable for the creation and integration of new and existing RTL code, algorithms and ... Good understanding of timing/power/area analysis and trade-offs Assets: * Experience with digital ...

Lyft

Senior Software Engineer, AI Entries

Toronto, ON · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Have the ability to explain the various trade offs made in decisions * Manage project priorities ... Experience working with data structures or algorithms. * Ability to work with a low-ego, highly ...

CGI Constructors

Site Superintendent

Mississauga, ON · On-site

  • Medical

  • Dental

  • Life

... trades, owners, architects, engineers, and deliver projects as a team leader. * Identify any ... algorithmic tools in any stage of its hiring, recruiting, or candidate evaluation process.

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All JobsAlgorithmic Trading Developer JobsAlgorithmic Trading Developer Jobs in Ontario

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 Aug 18, 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 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 the key skills and qualifications needed to thrive as an algorithmic trading developer?

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 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 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.

How to become an algorithmic trading developer?

To become an algorithmic trading developer, you typically need a strong background in computer science, mathematics, or finance, with proficiency in programming languages such as Python, C++, or Java. Knowledge of financial markets, trading strategies, and experience with data analysis, algorithm design, and trading platforms are essential. Gaining relevant certifications or completing specialized courses can also enhance your qualifications.

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:

Algorithmic Trading Developer jobs near you
Infographic showing various Algorithmic Trading Developer job openings in Ontario as of August 2026, with employment types broken down into 75% Full Time, 12% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $157,537 per year, or $75.7 per hour.

Senior Software Engineer - AI Platform (East Coast)

CaptivateIQ

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

CaptivateIQ is transforming the way companies plan, manage, and optimize sales performance. We started by revolutionizing incentive compensation management, and now we're expanding our platform to solve broader enterprise performance management challenges. Recognized by industry analysts like Forrester and G2 and backed by top-tier investors, including Sequoia, ICONIQ, Accel, and Sapphire Ventures,  we empower high-growth companies like Netflix, Figma, and Stripe with the flexibility and insights needed to drive revenue performance.
 
Join a talented, fast-growing team committed to solving some of the most complex and impactful problems in sales performance management.
 
About the Role
CaptivateIQ is building AI capabilities that will transform how enterprises manage sales performance. We're looking for a **Senior Software Engineer** to join our Agentic SDK team, an internal developer platform that enables product teams across the company to build AI-powered features.

This is a technical leadership role on a small, high-impact team. You'll own the technical roadmap for complex AI projects, making architectural decisions that shape how AI gets built across the organization. Working across the full stack, from React/TypeScript frontends to Python backends and LLM orchestration systems, you'll define patterns and best practices that other engineers will follow.

You'll lead by example: shipping high-quality code, mentoring teammates, and making challenging technical decisions when the path forward isn't clear. As one of five engineers pioneering AI at CaptivateIQ, you'll have direct influence on team-level outcomes and accountability for alignment to our technical strategy.

This is a greenfield opportunity with outsized impact. You'll help establish the foundations of our AI platform while coaching P3 engineers and contributing to the engineering culture that will scale with the company.

Job Location
Remote - US
Responsibilities
  • Define and own the technical roadmap for complex AI platform initiatives, driving semi-annual and annual milestones
  • Architect and implement production-grade LLM orchestration systems, including agent frameworks, tool calling, and multi-step reasoning workflows
  • Design MCP integrations and knowledge management systems, including tool orchestration, embedding strategies, and context optimization
  • Lead technical design for cross-functional AI features, making challenging decisions when trade-offs are unclear
  • Establish coding standards, review practices, and architectural patterns for AI development across the Agentic SDK team
  • Coach and mentor P3 engineers, helping them grow toward senior-level scope and autonomy
  • Partner with product teams to translate ambiguous business needs into technical solutions, ensuring alignment to company strategy
Requirements
  • 5+ years of professional software engineering experience with demonstrated progression into technical leadership
  • Deep proficiency in Python with experience architecting production backend systems (Django strongly preferred)
  • Strong frontend development skills with React and TypeScript, including experience with complex state management
  • Significant hands-on experience with LLM APIs and building orchestration systems (agent workflows, tool calling, multi-step reasoning)
  • Experience designing and implementing MCP integrations, including tool servers, embedding models, and context management strategies
  • Track record of defining technical roadmaps and leading projects from conception through delivery
  • Experience mentoring engineers and elevating team technical practices
  • Strong ability to make decisions under ambiguity and communicate technical trade-offs to stakeholders
  • Demonstrated curiosity and continuous learning in the rapidly evolving AI/LLM space
Bonus Points
  • Experience building internal developer platforms, SDKs, or shared AI/ML infrastructure
  • Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or equivalent)
  • Deep expertise in agent architectures: multi-agent systems, tool use, planning algorithms, or memory systems
  • Experience with prompt optimization, evaluation frameworks, or LLM observability tools (LangSmith, Weights & Biases)
  • Background in building AI features that shipped to enterprise customers
  • Experience at a B2B SaaS company scaling from Series B through growth stage
  • Familiarity with sales performance, commissions, or financial software domains
  • Contributions to AI/ML open-source projects or technical publications
Benefits
  • Comprehensive Healthcare: 100% coverage for medical, dental, and vision for all FTEs, with roughly 75% coverage for dependents.
  • Flexible Time Off: Flexible vacation days plus quarterly mental health days to ensure you have the space to recharge.
  • Annual Stipends: Dedicated funds for your professional development and caretaking needs.
  • Work Anniversary Bonuses: Annual bonuses to celebrate your milestones and contributions to the CaptivateIQ team that grow as your tenure does.
  • Retirement Savings (US-Only): A 401(k) plan to help you invest in and secure your future.
  • Premium Tools: The latest Apple hardware to empower you to do your best work.
  • Inclusive Community: Active Employee Resource Groups (ERGs) that celebrate shared identities and support our DEI goals by fostering an environment where diverse talent thrives.
Notice to Prospective Candidates:
  • Only emails from @captivateiq.com should be trusted.
  • We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc.
  • Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.
  • Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.
  • Ask candidates to make a payment in order to be considered for a position.
  • Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details and social security number, etc.
  • Please note that we'll only ask for more sensitive personal information in connection with background checks after an offer is made.
  • Participate in an on-call rotation to provide after-hours support, ensuring timely resolution of critical issues and maintaining system uptime.
$154,500 - $224,540 a year
The base range represents the minimum and maximum for this position. For Toronto the range is $154,500 - $205,683.  The compensation offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our OTE is just one component of CaptivateIQ's competitive total rewards package.
CaptivateIQ participates in E-Verify, web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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