Senior Quantitative Engineer: Python & Trading Models

Jobtailor; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

RBC is seeking a seasoned software engineer to advance quantitative finance platforms. You will build Python-based systems for portfolio management, trading models, and data extraction, collaborating across teams to implement robust APIs and ML-enabled analytics.

You will optimize portfolios, run Monte Carlo simulations, and contribute to cloud-based, scalable solutions. A strong background in statistics, AI, and financial services is essential.

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 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

Responsibilities

• 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

Skills

Python Software Development

Quantitative Finance Expertise

Algorithm Design

RESTful API Development

Cloud Computing (AWS or Azure)

Education

Bachelor's Degree in Economics/Finance/Mathematics/Computer Science/Statistics

Master’s Degree or Ph.D. Preferred

Tools

TensorFlow

Scikit-learn

NumPy

Django

Flask

Job description

RBC is seeking a seasoned software engineer to advance quantitative finance platforms. You will build Python-based systems for portfolio management, trading models, and data extraction, collaborating across teams to implement robust APIs and ML-enabled analytics.

You will optimize portfolios, run Monte Carlo simulations, and contribute to cloud-based, scalable solutions. A strong background in statistics, AI, and financial services is essential.