Senior Quantitative Engineer

RBC

Vancouver

On-site

CAD 120,000 - 180,000

Full time

9 days ago
Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Benefits offered by this job

Total Rewards Program
Coaching & managing opportunities
Make a difference
Dynamic collaborative team
Challenging work
Greater accountabilities

Job summary

RBC is seeking a software developer to build quantitative and portfolio management solutions in Canada. You will work on logic-intensive components for a digital wealth management platform, including models, trading algorithms, and data extraction processes.

The role emphasizes Python development, API services, and collaboration with a cross-functional team to implement portfolio optimization and backtesting workflows in a finance-focused environment.

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.
  • Experience using analytics libraries and frameworks such as 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.

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

Quant finance dev
Python API
RESTful APIs
Django/Flask
TensorFlow
scikit-learn
NumPy
Problem solving
Finance knowledge
Python

Education

Bachelor’s degree in Economics/Finance/Mathematics/CS/Statistics
Equivalent experience

Tools

Django
Flask
REST API frameworks

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

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.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Senior Quantitative Engineer
Senior Quantitative Engineer

RBC • Toronto

On-site
CAD 120,000 - 180,000
Bonuses and flexible benefits
Stock options where applicable
Career development opportunities
Senior Quantitative Engineer
Senior Quantitative Engineer

Socket.dev • Toronto

On-site
CAD 120,000 - 190,000
Total Rewards program
Bonuses
Stock options
Quant Developer
Quant Developer

RBC • Toronto

On-site
CAD 80,000 - 130,000
Total rewards program
Flexible benefits
Stock options
Senior Lead Financial Engineer
Senior Lead Financial Engineer

RBC • Vancouver

On-site
CAD 140,000 - 210,000
Bonuses
Stock options
Flexible benefits
Lead Software Developer - Java
Lead Software Developer - Java

Socket.dev • Toronto

On-site
CAD 110,000 - 150,000
Vice President, Capital Markets Treasury Quant
Vice President, Capital Markets Treasury Quant

RBC • Toronto

On-site
CAD 180,000 - 240,000
Total rewards program
Flexible benefits
World-class training
+1
Senior Software Engineer - Fullstack
Senior Software Engineer - Fullstack

Worky • Toronto

On-site
CAD 120,000 - 160,000
Bonuses and flexible benefits
Stock options where applicable
Leadership and development support
+2
Lead Software Developer - Java
Lead Software Developer - Java

JobCubby • Toronto

Hybrid
CAD 110,000 - 150,000
Competitive total rewards
Challenging work
Greater accountabilities
+2
Senior Software Engineer - Fullstack
Senior Software Engineer - Fullstack

RBC • Toronto

On-site
CAD 120,000 - 180,000
Bonuses and stock where applicable
Flexible benefits
Career development opportunities
Lead Full Stack Engineer
Lead Full Stack Engineer

Socket.dev • Toronto

On-site
CAD 120,000 - 170,000
Total rewards program
Coaching & development opportunities
World-class training program
+1