Vice President, ETF Algo Engineer

Bank N.A.; New York (NY); On-site; USD 234,000 - 286,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Job summary

Bank N.A. seeks an ETF Algo Engineer to design and support low-latency trading algorithms for our ETF Market Making team.

You will apply AI-assisted development to improve productivity, quality, and delivery across multiple asset types, while closely partnering with traders and engineers. The role requires strong Python/C++ software engineering, knowledge of market data, execution workflows, and trading protocols.

Qualifications

• 5–7 years of relevant experience and a post-secondary degree in a related field.
• Strong software engineering in Python and/or C++, with production system experience.
• Familiarity with trading workflows, market data, and protocols like FIX or venue interfaces.

Responsibilities

• Design, develop, test, and support low-latency ETF pricing and execution algorithms.
• Build trading, pricing, and risk-management tools across ETFs and related assets.
• Integrate exchange, broker, and market-data connectivity; enhance observability.

Skills

Python

C++

AI-assisted development

Low-latency systems

Linux

Education

Engineering/CS/Math/Statistics/Physics/Finance degree

Tools

Git

CI/CD

Market data APIs

Job description

Application Deadline: 12/30/2026

Address: 151 W 42nd Street

Job Family Group: Capital Mrkts Sales & Service

Role Summary

We are seeking an ETF Algo Engineer to design and support low-latency electronic trading algorithms for our ETF Market Making team, using AI-assisted development to improve engineering productivity, quality, and delivery. The ideal candidate combines strong software engineering and quantitative skills with knowledge of trading protocols, market data, execution workflows, as well as development and diagnostic tools. They will use AI-enabled tools throughout the software lifecycle and build systematic trading, pricing, and risk-management solutions across multiple asset types.

Key Responsibilities

• Design, develop, test, and support low-latency algorithms for ETF pricing, quoting, execution, hedging, and inventory management.
• Build systematic trading, pricing, and risk-management tools across ETFs and related asset types, including equities, futures, options, fixed income, and FX.
• Integrate exchange, broker, market-data, and RFQ connectivity.
• Develop reusable trading services and desk tools for market data, fair value, order management, risk controls, automation, and workflow integration.
• Systemically measure and optimize latency, throughput, fill quality, markouts, quote performance, and system resiliency across the trading stack.
• Create simulation, replay, monitoring, and diagnostic capabilities using application, market, and packet-level data.
• Own production readiness and support, including testing, deployment, observability, incident analysis, and continuous improvement of live trading systems.
• Apply AI-assisted development tools to accelerate implementation, testing, documentation, and code quality while adhering to engineering and security standards.
• Enable new ETFs, venues, trading workflows, and asset structures through scalable configuration and platform enhancements.
• Partner with traders, engineering, technology, operations, and control functions to translate desk priorities into reliable, compliant production solutions.

Qualifications

• 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Strong software engineering experience in Python and/or C++, including the design, testing, and support of production systems.
• Fluency with modern programming concepts and the ability to work across multiple commonly used languages, scripting environments, APIs, and data formats as the platform requires.
• Experience developing electronic trading algorithms, low-latency systems, real-time applications, or other performance-sensitive software.
• Knowledge of electronic trading workflows, market data, order lifecycles, and protocols such as FIX or venue-native interfaces.
• Understanding of ETFs, market structure, pricing, execution, hedging, and risk management across one or more related asset types.
• Experience with Linux, source control, automated testing, CI/CD, observability, performance analysis, and production diagnostic tooling.
• Ability to analyze large market and trading datasets and translate findings into reliable engineering solutions.
• Effective use of AI-assisted development tools, with sound judgment around validation, security, and software quality.
• Strong problem-solving, communication, and collaboration skills in a fast-paced trading environment.
• Post-secondary degree in Engineering, Computer Science, Mathematics, Statistics, Physics, Finance, or a related field, or an equivalent combination of education and experience.

What We Are Looking For

A builder who combines engineering discipline with strong trading instincts. The ideal candidate enjoys solving complex market problems, takes ownership from design through production, thrives in an entrepreneurial environment, and is excited to scale the algorithms and technology behind a leading ETF market-making franchise.

Salary

Please note the base salary for this role is $260,000 USD

Salary :

Pay Type: Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and lif