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Royal Bank of Canada

Senior Software Quantitative Engineer

Vancouver, BC, V6E 3N9, Canada
Toronto, ON, M9W 0A4, Canada

Full-time

This date has passed. Check with the employer before applying.

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Applications open in a new tab.

Job details

Job type: Full-time
Listed closing date: Oct 7, 2026
Experience: 3+ years of professional experience building large scale applications/APIs in Python
Posting language: English
Posted: Oct 7, 2026

Original job description

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:

2026-10-07

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.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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More about this job

Responsibilities

Develop logic-intensive components for a digital wealth management platform, including portfolio optimization and trading algorithms. Collaborate with the team to design, test, and maintain core research applications while extracting data to support model development.

Requirements

Requires at least 5 years of software development experience in quantitative finance and 3 years of professional Python experience. A bachelor's degree in a relevant quantitative discipline is required, with a master's or Ph.D. preferred.

Skills

Python
Quantitative finance
Portfolio optimization
Monte Carlo simulations
Trading algorithms
Applied statistics
TensorFlow
Scikit-learn
NumPy
RESTful APIs
Django
Flask
Algorithm design
Financial modeling
Machine learning
Statistical analysis

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock options

Visa sponsorship

Not detected in the job text

Keywords

Python
Quantitative Finance
Portfolio Optimization
Monte Carlo Simulations
Trading Algorithms
Financial Health Scores
Probability Assessment Models
TensorFlow
Scikit-learn
NumPy
RESTful APIs
Django
Flask
AWS
Azure
Containerization
Behavioral Finance
Wealth Management
Natural Language Processing
Machine Learning
Conceptual Modelling
Statistical Analysis
Predictive Modelling
Hypothesis Testing
Software Development
API Services
Back Testing
Data Extraction
Financial Services
Algorithm Design

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