Senior Quantitative Engineer

RBC

Senior Quantitative Engineer building Python trading models for RBC's digital wealth management platform. Developing portfolio optimization, simulations, APIs, and financial models.

Posted 9/4/2026full-timeToronto • 🇨🇦 CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software development for quantitative finance, with a strong focus on Python programming, algorithm design, and financial model development. Proficient in utilizing analytics libraries and frameworks to enhance portfolio management and trading strategies.

Highest-signal resume keywords

Python Software DevelopmentQuantitative Finance ExpertiseAlgorithm DesignRESTful API DevelopmentCloud Computing (AWS or Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentQuantitative ConceptsApplied StatisticsData ExtractionPortfolio OptimizationMonte Carlo SimulationsTrading AlgorithmsFinancial ModelsMachine LearningStatistical Analysis

Soft Skills

Problem-Solving SkillsCollaboration

Tools & Technologies

TensorFlowScikit-learnNumPyDjangoFlask

Certifications & Qualifications

Bachelor's Degree in Economics/Finance/Mathematics/Computer Science/StatisticsMaster’s Degree or Ph.D. Preferred

Industry Keywords

Financial ServicesWealth ManagementBehavioral FinancePersonal FinanceAPI Services

Tech Stack

Tools & technologies

AWSAzureCloudDjangoFlaskNumpyPythonTensorflow

About the role

Key responsibilities & impact

Develop software for quantitative and portfolio management using Python
Design, test, maintain, and improve core trading and research applications
Develop code to extract data from various sources to support model development
Collaborate with the team on best practices
Conduct research on portfolio optimization, perform back tests, and implement trading models
Develop logic-intensive components of RBC's digital wealth management platform, including computational libraries and API services
Implement software for portfolio optimization, Monte Carlo simulations, trading algorithms, financial health scores, and probability assessment models

Requirements

What you’ll need

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
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

Benefits

Comp & perks

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