Senior Quantitative Engineer

Toronto, Ontario

On-site

Full-time

No salary postedToday

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Employment type: Full-time · On-site
Posted: September 14, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 22/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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What is the Opportunity? This position is responsible for developing logic-intensive components of the digital wealth management platform. Works on computational libraries, as well as API services that interact with those libraries and other parts of the platform. The core focus for the position will be on implementing software used in portfolio optimization, Monte Carlo simulations, trading algorithms, financial health scores, and probability assessment models used in developing a wealth manag…

This role is based in Ontario. RBC is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Senior Quantitative Engineer in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

5+ years of experience in quantitative engineering or related field
Strong background in financial mathematics or computer science
Proficiency in multiple programming languages
Experience with portfolio optimization and financial algorithms
Solid understanding of Monte Carlo simulations

Fit check

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What you'll do

Develop logic-intensive components of digital wealth management platform
Build and maintain computational libraries
Create API services that interact with libraries and platform components
Implement portfolio optimization software
Develop Monte Carlo simulation systems
Build trading algorithms
Create financial health score models
Develop probability assessment models for wealth management

What you'll need

5+ years of experience in quantitative engineering or related field
Strong background in financial mathematics or computer science
Proficiency in multiple programming languages
Experience with portfolio optimization and financial algorithms
Solid understanding of Monte Carlo simulations
Experience developing API services
Ability to work with computational libraries
Strong problem-solving skills