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BMO

Vice President, ETF Algo Engineer

  • Office
  • 6+ years

Salary

$260,000/ year

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Description

The company offers corporate and investment banking, treasury management, and research and advisory services to clients worldwide.

The team is the ETF Market Making group, and this role is an ETF Algo Engineer position at the Vice President level in the Capital Markets Sales & Service job family.

The role is located at 151 W 42nd Street. The application deadline is 12/30/2026.

You will design and support low-latency electronic trading algorithms for the ETF market making team, using AI-assisted development to raise engineering productivity, quality, and delivery speed.

The role calls for software engineering and quantitative skills, along with knowledge of trading protocols, market data, execution workflows, and development and diagnostic tools. You will use AI-enabled tools across the software lifecycle and build systematic trading, pricing, and risk-management solutions across multiple asset types.

Responsibilities

  • Design, build, test, and support low-latency algorithms for ETF pricing, quoting, execution, hedging, and inventory management.
  • Build systematic trading, pricing, and risk-management tools for ETFs and related assets, including equities, futures, options, fixed income, and FX.
  • Connect to exchanges, brokers, market data feeds, and RFQ systems.
  • 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.
  • Build simulation, replay, monitoring, and diagnostic tools using application, market, and packet-level data.
  • Take ownership of production readiness and support, including testing, deployment, observability, incident analysis, and ongoing improvement of live trading systems.
  • Use AI-assisted development tools to speed up implementation, testing, and documentation and to improve code quality, within 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 systems.

Requirements

  • 5 to 7 years of relevant experience and a post-secondary degree in a related field, or an equivalent mix of education and experience.
  • Strong software engineering experience in Python and/or C++, including designing, testing, and supporting production systems.
  • Fluency in modern programming concepts and the ability to work across several languages, scripting environments, APIs, and data formats as the platform requires.
  • Experience building 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 in one or more related asset types.
  • Experience with Linux, source control, automated testing, CI/CD, observability, performance analysis, and production diagnostic tools.
  • Ability to analyze large market and trading datasets and turn findings into reliable engineering solutions.
  • Effective use of AI-assisted development tools, with sound judgment on validation, security, and software quality.
  • Strong problem-solving, communication, and collaboration skills in a fast-moving trading environment.
  • A post-secondary degree in Engineering, Computer Science, Mathematics, Statistics, Physics, Finance, or a related field, or an equivalent mix of education and experience.
  • Strong engineering discipline combined with solid trading instincts. You enjoy solving complex market problems, take ownership from design through production, work well in an entrepreneurial setting, and want to scale the algorithms and technology behind a leading ETF market-making business.

Conditions

Base salary for this role is $260,000 USD.

Salaried position.

This is the pay range and pay type for the company Financial Group.

Pay varies by location, skills, experience, education, and qualifications, and may include a commission structure. Part-time pay is pro-rated to regularly worked hours. For commission roles, the listed salary is the expected first-year target.

Total compensation varies by pay type and may include performance-based incentives and discretionary bonuses, along with other perks and rewards.

Equal opportunity applies to all applicants.

Benefits

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

Where you’d work

From the office

About the company

BMO

  • Industry: FinTech

Offices in New York, United States, United States

Also hiring in Toronto, Canada, Canada, Chicago, United States and 2 more places

2 of their 48 open roles are remote

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • C++
  • Linux
  • CI/CD
Seniority
VP / C-level
Type
Full-time
Industry
FinTech
Specialty
Backend
Region
United States
Show 6 more factsShow less

Role

Category
Development
Specialty
Backend
Seniority
VP / C-level
Experience
7+ years
Tech stack
  • Python
  • C++
  • Linux
  • CI/CD

Location

Work model
Office
Region
United States
Offices
  • New York, United States
  • United States

Compensation

Salary
$260,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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