Associate, Desk Quant — RBC Capital Markets
I specialize in financial resource optimization, liquidity management, and balance sheet strategy within Capital Markets — designing funding frameworks and quantitative models that drive P&L performance across trading desks.
Beneath the finance, I build the technology: production Python systems, ETL infrastructure, and real-time analytics that turn complex market data into actionable decisions at institutional scale.
Markets demand precision. I build the frameworks that deliver it.
I'm a quantitative engineer and capital markets specialist based in Toronto, currently serving as Associate Desk Quant at RBC Capital Markets within the Financial Resource Optimization & Liquidity Management group.
My work spans balance sheet optimization, funding strategy, and liquidity management — developing the quantitative models and optimization frameworks that trading desks rely on for Net Cash Flow management, LCR/NSFR monitoring, and structured product monitoring. I sit at the front desk, translating complex regulatory and market constraints into actionable, real-time strategies.
The technology side is inseparable from the finance: I architect the production Python systems and data infrastructure that make those strategies possible — from unified OOP frameworks and CI/CD pipelines to ETL layers integrating enterprise data sources at scale.
Before RBC, I worked at Deloitte on financial risk ML model validation projects for clients across Canada, and built the data warehouse foundations for RBC's KYC Capital Markets reporting platform.
Front desk quant engineer building end-to-end Python frameworks serving the Resource Management Group, Central Funding, and SRT desks — delivering optimization strategies, pricing models, and real-time analytics that directly impact trading desk P&L and funding decisions.
Advanced financial risk ML model projects for clients across Canada, combining technical rigor with strong client relationship management across demanding timelines.
Data infrastructure initiatives for Capital Markets client data platform — architecting the Snowflake-based foundations for enterprise-wide client analytics.
End-to-end Python framework for financial optimization and analytics, built with OOP design patterns and CI/CD pipelines.
ML-based financial risk modeling toolkit with validation, reporting, and model lifecycle management.
Snowflake-based data warehouse design with dimensional modeling, ETL pipelines, and governance standards.
Whether it's a 110KM trek through the Swedish Arctic, winning the 50m Butterfly at the Shenzhen Swimming Championship, or giving back through community events — the drive is the same: show up, go the distance, make it count. Outside of markets, you'll find me on trails, behind a film camera, or mentoring the next generation.
Slowing down, choosing one frame, committing to it — no delete button. Film photography demands the same discipline as good financial modeling: precision over volume, intention over reaction.
As Director at Leader Circle (pro bono), I connect ambitious professionals with industry leaders through speaker events and mentorship. Building community is how we grow together — in finance, in tech, in life.
Volunteering as an interviewer and mentor — helping students and early-career professionals navigate their paths into finance and technology. The best investment is in people.
Open to conversations about capital markets, quantitative finance, engineering challenges, or new opportunities. Always happy to connect.