Vice President, ETF Algo Engineer

BMO Harris Bank; New York (NY); On-site; USD 234,000 - 286,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Performance-based incentives

Discretionary bonuses

Job summary

BMO Capital Markets in New York is seeking an ETF Algo Engineer to design and support low-latency 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, and execution workflows, and will build scalable pricing, risk, and automation tools across multiple assets.

Qualifications

• 5-7 years of relevant experience in a related field and a post-secondary degree or equivalent.
• Strong software engineering experience in Python and/or C++, including production systems.
• Fluency with modern programming concepts and multiple languages as needed by the platform.
• Experience developing electronic trading algorithms or low-latency systems.
• Knowledge of electronic trading workflows, market data, and FIX or venue interfaces.

Responsibilities

• Design, develop, test, and support low-latency ETF pricing, quoting, execution, hedging, and inventory management.
• Build systematic trading and risk-management tools across ETFs and related assets.
• Integrate exchange, broker, market-data, and RFQ connectivity.
• Develop reusable trading services and desk tools for data, order management, and risk controls.
• Measure latency, throughput, and quote performance across the trading stack.
• Create simulation, replay, monitoring, and diagnostic capabilities.

Skills

Python

C++

Low-latency systems

ETF knowledge

Linux

CI/CD

AI tools

Market data protocols

Trading platforms

Education

Engineering/CS/Math/Physics

Tools

Git

FIX protocol

CI/CD tooling

Job description

Application Deadline

12/30/2026

Address

151 W 42nd Street

Job Family Group

Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service financial services provider. We offer corporate and investment banking, treasury management, as well as research and advisory services to clients around the world. #bmocapitalmarkets

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

Pay Type

Salaried

Benefits

• performance-based incentives, discretionary bonuses, as well as other perks and rewards
• health insurance
• tuition reimbursement
• accident and life insurance
• retirement savings plans

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [e-mail] and let us know the nature of your request and your contact information.