Scotiabank – Incoming Quantitative Researcher
Summer 2026 | Toronto, ON
Focus: Statistical Research, Backtesting, Python, NumPy, Pandas
- Incoming role beginning Summer 2026 focused on quantitative research and model development for trading strategies.
Scotiabank – Incoming Capital Markets Data Analyst
Fall 2026 | Toronto, ON
Focus: Data Engineering, SQL, ETL, Data Visualization
- Incoming role beginning Fall 2026 focused on capital markets data pipelines, ETL, and analytics.
Scotiabank – Quantitative Trading Developer
Electronic Execution Services (Algorithmic Trading) – Global Banking and Markets | May 2025 – Apr 2026 | Toronto, ON
Tech Environment: Bloomberg API, Transaction Cost Analysis, SQL, Python, Angular, JavaScript, Pandas
- Completed the Outage App, a Bloomberg-integrated diagnostic platform to analyze failed algorithmic executions, compute refund adjustments, and reduce algorithmic risk through performance optimization using vectorization and bitmasking.
- Investigated and resolved missing trade records in TCA pipelines, refactoring logic to improve data integrity and compliance.
- Maintained FX and Commission reconciliation pipelines, collaborating with traders and middle office to ensure accuracy.
- Developed automated client reporting tools, improving operational efficiency and transparency.
Big Tuna – Software Developer
Seasonal Game Developer | Aug 2020 – May 2024 | Oakville, ON
Tech Environment: JavaScript, JSON, SQL, Developer Portal, Game Design, Git, Software Testing
- Developed and maintained a Discord bot game with over 23,000 active players as part of a three-person team.
- Integrated SQL database updates for new content and conducted comprehensive pre-deployment testing.
Market Making via Reinforcement Learning Research
Research Assistant under Professor Wei Xu | May 2023 – Aug 2024 | Toronto, ON
Tech Environment: Python, Stable Baselines (DDPG & DQN), Linux, Pandas, Gym, PyTorch
- Developed a profitable market-making agent for cryptocurrency exchanges using DDPG and DQN algorithms.
- Built a simulated trading environment using 100M+ tradebook entries and a dynamic reward framework for adaptive learning.
University of Toronto Aerospace Design Team
Liquid Propulsion & Aerodynamics Division | Jul 2023 – Present | Toronto, ON
Tech Environment: Python, Linux, NumPy, RocketCEA, Git, Project Management
- Reworking simulation software to model rocket flight trajectories with a new 6DoF (six degrees of freedom) system.
- Improved accuracy and visualization for aerodynamic and propulsion analysis tools.
