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Algorithmic Trading Developer Jobs in Toronto, ON

Bachelor's degree in Civil Engineering or a related field is preferred * Experience in project ... Maintain Master Tender List and ensure up-to-date trade information, along with consistently in ...

... Trades and diversity programs, as well as our Employee Resource Groups (ERGs) , to ensure we are ... Support with developing algorithmic processes and scripting (Dynamo, Python, LISP, VBA). Support ...

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Algorithmic Trading Developer information

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 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 Toronto, ON?

For Algorithmic Trading Developer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Algorithmic Trading Developer jobs in Toronto, ON look for?

The top searched job categories for Algorithmic Trading Developer jobs in Toronto, ON are:

Infographic showing various Algorithmic Trading Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

Product Manager, Data and Identity

TransUnion

Toronto, ON • On-site

Full-time

Re-posted 16 days ago


TransUnion rating

9.3

Company rating: 9.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

TransUnion's Job Applicant Privacy Notice

What We'll Bring:

At TransUnion, we are dedicated to finding ways information can be used to help people make better and smarter decisions. As a trusted provider of global information solutions, our mission is to help people around the world access the opportunities that lead to a higher quality of life, by helping organizations optimize their risk-based decisions and enabling consumers to understand and manage their personal information. Because when people have access to more complete and multidimensional information, they can make more informed decisions and achieve great things.
Every day TransUnion offers our employees the tools and resources they need to find ways information can be used in diverse ways. Whether it is helping businesses better manage risk, providing better insights so a consumer can qualify for their first mortgage or working with law enforcement to make neighborhoods safer, we are improving the quality of life for individuals, families, communities and local economies around the world.

What You'll Bring:

We are looking for product leaders who can operate in complex data-driven environments and drive improvement in foundational systems.

  • 5-8+ years of product management experience with proven ability to define OKRs and KPIs, define roadmaps, prioritize work, write clear requirements and user stories, drive release readiness and acceptance criteria, and deliver outcomes in cross-functional teams.

  • 5+ years of experience with data-intensive systems involving large datasets, data hygiene, standardization, identity resolution, and analytical processes; multi-region product development experience is a plus. Identity resolution experience is desirable (name, address, IP, device IDs, cookies, etc.).

  • Demonstrated problem-solving and analytical skills, including diagnosing data and system issues, proactively identifying algorithm changes and data shifts, breaking down complex systems, and identifying practical improvements.

  • Ability to work across technical and non-technical teams, translating between engineering, data science, and business stakeholders, and partnering with legal and compliance teams to ensure capabilities meet regulatory and contractual obligations.

  • Ownership mindset in comfortably operating in ambiguous environments, setting direction, and driving results without clear precedents in a matrixed environment; hold cross-functional partners accountable through clear plans, operating cadence, and escalations when needed.

  • Effective communication in clearly explaining complex topics, influencing decisions across stakeholders, and presenting to senior leaders.

  • Experience with Agile delivery and tools such as Jira and Confluence.

  • Nice to have familiarity with data matching, deduplication, or entity resolution concepts, and experience with regulated data environments.

Impact You'll Make:

We are hiring a Product Manager to lead our company's core identity platform. You will own the critical capability of identifying individuals accurately and building consumer profiles over time. You are accountable for continuously improving the quality, performance, and business value of this data platform, with a focus on identity-related capabilities such as search, match, and profile management.

This role has priority-setting authority for the platform, aligning to global standards and enterprise governance. You will operate at the intersection of data, technology, and product, working across teams to ensure this foundational capability evolves in line with business and customer needs. Where delivery capacity is shared, you will drive alignment on scope, sequencing, and release acceptance criteria, and escalate tradeoffs and risks through senior leadership and governing bodies.

  • Own the roadmap and continuous improvement of identity capabilities by defining and prioritize end-to-end lifecycle enhancements on data quality, linkage accuracy, system performance, and downstream business outcomes.

  • Drive measurable performance improvements by establishing and managing KPIs/OKRs and performance targets (e.g., algorithm quality and accuracy), and build proactive monitoring, alerting, and investigation routines. Champion a structured backlog and iterative enhancement program, aligning stakeholders on trade-offs, driving execution, and defining release readiness and success criteria.

  • Lead cross-functional execution by working across teams to convert business needs into clear technical direction, requirements, and priorities, ensuring coordinated delivery in a complex, shared environment. Establish a regular operating cadence to improve performance, resiliency, and responsiveness, including post-incident reviews and follow-through on corrective actions.

  • Operationalize the system for scale and reliability by building and maintaining documentation (capabilities, known behaviors, monitoring playbooks, controls, troubleshooting guides) to enable repeatable investigations, consistent stakeholder communications, and audit-ready traceability.

  • Represent the capability and drive alignment across the organization and the industries we serve. Support client requests and ensure industry-wide adoption of standards and best practices. Communicate effectively with stakeholders, including senior leadership.

  • Connect regional needs to global evolution by ensuring regional priorities and learnings are reflected in global product development by partnering with the Centre of Excellence, adopting shared standards, and contributing insights to enterprise-wide improvements.

The expected pay range for this position is $110,000 - $160,000 annually. The payinformation provided for this position reflects a reasonable estimate of the range of expectedcompensation for this job. At TransUnion, actual compensation is based on careful consideration ofmany factors such as (but not limited to) an individual's education, training, work experience, job related skill set, location, and industry knowledge, as well as the scope and responsibilities of theposition and market considerations. In addition, variable compensation is based on applicable companyguidance and plan documents as well as performance.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

This job posting is for an existing vacancy. The opening is the result of a newly created position.

Accommodation is available, including for applicants with disabilities, in accordance with applicable laws.

TransUnion's Internal Job Title:

Advisor, Product Management

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