Vice President, ETF Algo Engineer

Description

The company is a full-service financial services provider offering corporate and investment banking, treasury management, and research and advisory services to clients worldwide.

The role sits on the ETF Market Making team and centres on low-latency electronic trading algorithms. The team uses AI-assisted development to improve engineering productivity, quality, and delivery.

Application deadline: 12/30/2026. Location: 100 King Street West. Job family group: Capital Markets Sales & Service.

Responsibilities

• Design, build, test, and maintain low-latency algorithms for ETF pricing, quoting, execution, hedging, and inventory management.
• Build systematic trading, pricing, and risk tools for ETFs and related products, including equities, futures, options, fixed income, and FX.
• Connect systems to exchanges, brokers, market data feeds, and RFQ platforms.
• Develop reusable trading services and desk tools covering market data, fair value, order management, risk controls, automation, and workflow integration.
• Measure and improve latency, throughput, fill quality, markouts, quote performance, and resiliency across the trading stack.
• Create simulation, replay, monitoring, and diagnostic tools using application, market, and packet-level data.
• Own production readiness and support, including testing, deployment, observability, incident analysis, and ongoing improvement of live systems.
• Use AI-assisted development tools to speed up implementation, testing, and documentation while meeting engineering and security standards.
• Enable new ETFs, venues, trading workflows, and asset structures through scalable configuration and platform changes.
• Work with traders, engineering, technology, operations, and control teams to turn desk priorities into reliable, compliant production solutions.

Requirements

• Have 5 to 7 years of relevant experience and a post-secondary degree in a related field, or an equivalent mix of education and experience.
• Bring strong software engineering experience in Python and/or C++, including designing, testing, and supporting production systems.
• Be fluent in modern programming concepts and able to work across several languages, scripting environments, APIs, and data formats as needed.
• Have built electronic trading algorithms, low-latency systems, real-time applications, or other performance-sensitive software.
• Know electronic trading workflows, market data, order lifecycles, and protocols such as FIX or venue-native interfaces.
• Understand ETFs, market structure, pricing, execution, hedging, and risk management in one or more related asset types.
• Have experience with Linux, source control, automated testing, CI/CD, observability, performance analysis, and production diagnostic tools.
• Can analyze large market and trading datasets and turn the findings into reliable engineering solutions.
• Use AI-assisted development tools effectively, with sound judgment on validation, security, and software quality.
• Solve problems well, communicate clearly, and collaborate in a fast-paced trading environment.
• Hold a post-secondary degree in Engineering, Computer Science, Mathematics, Statistics, Physics, Finance, or a related field, or an equivalent mix of education and experience.
• You are a builder who pairs engineering discipline with strong trading instincts. You enjoy complex market problems, take ownership from design through production, and want to scale the algorithms and technology behind a leading ETF market-making business.

Conditions

Salaried role. Base salary is $160,000 CAD.

The stated pay range and pay type are for the company's position. Actual pay depends on location, skills, experience, education, and qualifications, and may include a commission structure. Part-time pay is pro-rated to regular hours. For commission roles, the stated salary is the expected first-year target.

Total compensation may include performance-based incentives and discretionary bonuses, depending on the pay type of the position.

Accommodations are available on request during the selection process. Contact your recruiter to ask.

Benefits

• Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
• Training, coaching, manager support, and networking opportunities to build your skills.