Senior Quantitative Engineer

RBC; Toronto; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Bonuses and flexible benefits

Stock options where applicable

Career development opportunities

Job summary

RBC is seeking an experienced software engineer to develop logic-intensive components for a digital wealth management platform. You will build Python-based libraries and REST APIs used in portfolio optimization, Monte Carlo simulations, trading algorithms, and risk models.

You will design, test, and maintain core applications, extract data from diverse sources, and collaborate with teammates to implement state-of-the-art analytics and models for wealth management.

Qualifications

• 5+ years of software development in a quantitative finance area.
• 3+ years of professional experience building large scale applications/APIs in Python.
• Bachelor's degree in Economics/Finance/Mathematics, Computer Science, Statistics or other relevant discipline or equivalent experience.
• Strong knowledge of quantitative concepts, including applied statistics.

Responsibilities

• Develop software for quantitative and portfolio management using Python.
• Design/test/maintain/improve the core trading and research applications being developed.
• Develop code to extract data from various sources to support development of the models.
• Collaborate with team on best practices.
• Conduct research on portfolio optimization, perform back test and implement trading models.

Skills

Python

APIs

Quant finance

TensorFlow

NumPy

REST APIs

Django/Flask

Education

Bachelor's degree in Economics/Finance/Math/CS/Stats

Tools

Django

Flask

RESTful APIs

Job description

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 management platform.

What will you do?

• Develop software for quantitative and portfolio management using Python
• Design/test/maintain/improve the core trading and research applications being developed
• Develop code to extract data from various sources to support development of the models
• Collaborate with team on best practices
• Conduct research on portfolio optimization, perform back test and implement trading models

What do you need to succeed?

Must have:

• 5+ years of software development in a quantitative finance area
• 3+ years of professional experience building large scale applications/APIs in Python
• Bachelor's degree in Economics/Finance/Mathematics, Computer Science, Statistics or other relevant discipline or equivalent experience.
• Strong knowledge of quantitative concepts, including applied statistics
• Experience using analytics libraries and frameworks such TensorFlow, scikit, NumPy
• Strong problem-solving skills
• Knowledge of (or interest in) personal finance/economics
• Experience with algorithm design or development
• Experience working with RESTful APIs
• Experience with Python API frameworks like Django, Flask

Nice to have

• Master’s degree or Ph.D. Preferred.
• Experience with Cloud (AWS or Azure) and containerization is a big plus
• Experience in financial services preferred
• Experience developing financial models in behavioral finance or wealth management
• Familiarity with and ability to apply the following concepts to solve data problems; natural language processing, machine learning, conceptual modelling, statistical analysis, predictive modelling and hypothesis testing

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients succeed and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities.

Job Skills

Communication, Critical Thinking, Detail-Oriented, Financial Instruments, Investment Banking Analysis, Investments Analysis, Personal Development, Personal Initiative, Quantitative Methods, Risk Management

Additional Job Details

Address: 180 WELLINGTON ST W:TORONTO
City: Toronto
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform:
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-09-04
Application Deadline: 2026-09-21
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.