Senior Software Quantitative Engineer

rbc; Toronto; On-site; CAD 110,000 - 170,000; Full time

Job summary

RBC in Toronto is seeking a software engineer focused on quantitative finance to build logic-intensive components of a digital wealth management platform. You will work on portfolio optimization, Monte Carlo simulations, and trading algorithms using Python.

The role emphasizes developing data extraction pipelines, RESTful APIs, and scalable APIs with Django/Flask, collaborating with a high-performing team. You should have 5+ years in quantitative software, 3+ years building large Python

Qualifications

• 5+ years of software development in a quantitative finance area.
• 3+ years building large scale applications/APIs in Python.
• Bachelor's degree in Economics/Finance/Mathematics/CS or related field.
• Strong knowledge of quantitative concepts and statistics.
• Experience with analytics libraries and frameworks such as TensorFlow, scikit, NumPy.
• Experience with RESTful APIs and Python API frameworks like Django/Flask.

Responsibilities

• Develop Python software for quantitative and portfolio management.
• Design, test, maintain and improve core trading and research applications.
• Develop code to extract data from diverse sources to support models.
• Collaborate with the team on best practices.
• Research portfolio optimization, back testing, and trading models.

Skills

Python

Quantitative finance

REST APIs

Data extraction

TensorFlow/NumPy

Education

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

Tools

TensorFlow

scikit-learn

NumPy

Django/Flask

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?

• 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.