Quantitative Finance & Engineering

Arshia Feizmohammady

Industrial Engineering @ UofT

Incoming Quantitative Trading Analyst @ RBC (2026)

About

I'm an Industrial Engineering student at the University of Toronto with a passion for quantitative finance, machine learning, and building data-driven solutions. I've conducted research at ISAE-SUPAERO (France), NUS (Singapore), and UvA (Remote). I love traveling, exploring new cultures, and learning new things.

Education

University of Toronto - St. George

BASc. in Industrial Engineering

Sep 2023 - 2028

University of Toronto logo

Experience

Royal Bank of Canada (RBC) - Capital Markets- Canada

Royal Bank of Canada (RBC) - Capital Markets logo

Quantitative Trading Analyst - Electronic Market Making and Central Risk Book

Starting May 2026

National University of Singapore (NUS)- Singapore

National University of Singapore (NUS) logo

Commodities Research - Data & Analytics

May 2025 - Dec 2025

  • Developing quantitative models for commodities trading using machine learning and statistical analysis.
  • Analyzing market data and creating predictive models for trading strategies.
  • Collaborating with research teams on energy market forecasting and risk management.

University of Amsterdam- Netherlands

University of Amsterdam logo

Commodities Research - Data & Analytics

Jun 2025 - Oct 2025

  • Conducting research on cryptocurrency market dynamics and trading algorithms.
  • Developing quantitative models for crypto asset pricing and volatility forecasting.
  • Implementing machine learning approaches for crypto trading strategy optimization.

St. George Capital- Canada

St. George Capital logo

Quantitative Research - Crypto Lead

Apr 2025 - Present

  • Leading quantitative research on Ethereum Layer 1 and Layer 2 networks to identify cross-exchange pricing inefficiencies across decentralized liquidity pools using on-chain transaction data
  • Developing real-time data pipelines to extract and process on-chain transaction data
  • Designing statistical models to forecast smart contract execution costs and gas fee dynamics

The University of Toronto Engineering Society- Canada

The University of Toronto Engineering Society logo

Sustainability Director

Apr 2025 - November 2025

  • Managing stakeholder relationships across 1,400+ engineering students.
  • Driving strategic planning and accountability frameworks for sustainability programs.
  • Overseeing curriculum initiatives and organizing sustainability events on campus.
  • Coordinating with associates and producing monthly reports for leadership.

Kon Aerosystems- Canada

Kon Aerosystems logo

Business and Growth Intern

Sep 2024 - August 2025

  • Led market analyses and strategic planning to identify growth opportunities in the aviation industry.
  • Developed financial forecasts and models for investor presentations and business planning.
  • Conducted in-depth market research on startup branding strategies and competitive analysis.
  • Built relationships via outreach to companies, partners, and potential clients.

ISAE-SUPAERO- France

ISAE-SUPAERO logo

ML Research - Automotive Forecasting & Trading

May 2024 - Aug 2024

  • Reproduced results from 4 peer-reviewed papers with full code documentation.
  • Enhanced game-theory models with FB Prophet and nonlinear regression (-5% backtest error).
  • Led weekly syncs and delivered progress reports to Dr. Vingerhoeds's team.
  • Applied machine learning techniques to automotive market forecasting.

University of Toronto- Canada

University of Toronto logo

Research and HSE Program (MICe Lab)

Jan 2023 - Feb 2023

  • Selected from 100+ applicants to work under a graduate mentor in the Medical Biophysics Lab.
  • Observed and contributed to weekly lab meetings and protocol reviews.
  • Gained hands-on experience with advanced research tools and methodologies.
  • Conducted research in the MICe Lab focusing on health and safety protocols.

Blog

Posts coming soon.