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 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.
Robust 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
Core Competencies 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 Development
Quantitative Finance Expertise
Algorithm Design
RESTful API Development
Cloud Computing (AWS or Azure)
ATS Optimization Keywords Hard Skills Software Development
Quantitative Concepts
Applied Statistics
Data Extraction
Portfolio Optimization
Monte Carlo Simulations
Trading Algorithms
Financial Models
Machine Learning
Statistical Analysis
Soft Skills Problem-Solving Skills
Collaboration
Certifications & Qualifications Bachelor's Degree in Economics/Finance/Mathematics/Computer Science/Statistics
Master’s Degree or Ph.D. Preferred
Industry Keywords Financial Services
Wealth Management
Behavioral Finance
Personal Finance
API Services
Tools & Technologies TensorFlow
Scikit-learn
NumPy
Django
Flask

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📌 Senior Quantitative Engineer (Ontario)
🏢 Jobtailor
📍 Ontario