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dataroles

C++ Quant Developer

BMO Open · verified Oct 24, 2026
New York Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at BMO. New York · full-time · $260,000 base.

SalaryStated by BMO
$260,000
Base salary for this role, in USD per year, as published in the posting.
This role, from BMOOur estimate for the market: $137,581–$208,900Median $157,100
Above the market median of $157,100 for mid-level data science roles in New York.
Worked out from 54 postings that stated pay, median $157,100. Last updated Oct 23, 2026.
RoleData Science
SeniorityMid-level
LocationNew York
EmploymentFull-time
Base pay$260,000
PostedOct 13, 2026 · 11d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build systems for automated quoting, trade execution and risk control across electronic fixed-income trading
  • Solve demanding engineering problems with traders and quantitative colleagues
  • Add to shared software foundations and the quantitative library

What you bring

  • At least two years building high-performance software in C++
  • Hands-on experience with trading systems and Linux
  • A degree in a technical or quantitative discipline

Who this fits

This role suits a C++ developer who wants to build trading and quantitative software in a small, focused team, working closely with traders and quants. The position is based in New York.

From the employer

Application Deadline:

11/29/2026

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

BMO Global Markets is transforming its Fixed Income electronic and quantitative trading platform. We are looking for builders who are passionate about high performance technology and are comfortable working in small, focused teams on high visibility projects. You will work on complex engineering problems in a close relationship with traders and quants. Your responsibilities will span a variety of applications including automated quoting, execution and risk management. You will also contribute to the foundational frameworks and the quant library.

Qualifications:

  • 2+ years of experience developing high-performance software in C++

  • Experience working on trading systems

  • Experience working with Linux

  • A degree in a technical or quantitative field

Nice to haves:

  • Knowledge of Rates pricing and risk

  • Experience building or working with quant libraries

  • Understanding of network fundamentals and transactional technologies

  • Python

Salary:

Please note the base salary for this role at VP level 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 life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

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 BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$260k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.