Senior Quantitative Engineer

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.

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

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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