Selected Quantitative Systems
Portfolio research, trading infrastructure, scenario engines and market-data systems.
MATHEMATICAL FINANCE RESEARCH
01Portfolio Research & Reproducible Compute
Built a point-in-time equity research pipeline linking WRDS/CRSP to Waterloo compute for portfolio construction, out-of-sample risk, turnover and cost evaluation.
- WRDS / CRSP CIZ
- SSH / CPU26
- Parallel Runs
- Portfolio Construction
- OOS Risk / Turnover / Costs
Python · WRDS PostgreSQL · CRSP CIZ · SSH · Waterloo CPU26 · tmux · Git
432 months200-stock universes10/20/50-name portfolios
QF / workflow overview
WRDS / CRSP CIZSSH / CPU26Parallel RunsPortfolio ConstructionOOS Risk / Turnover / Costs
Trading Simulation & Portfolio Reporting
Built LTG’s trading-simulation workflow connecting trade intake, validation, pricing sources, portfolio state and public reporting.
- Trade Intake
- Event Engine
- Multi-source Pricing
- Portfolio State / P&L
- Web Reporting
Google Forms · Google Sheets · Apps Script / JavaScript · Yahoo Finance · Stooq · Twelve Data · MarketData.app · Squarespace
CITADEL FI&M CENTRAL BANK CHALLENGE
03Policy-Path Scenario Engine
Built the quantitative framework used to compare feasible Fed paths across common macro assumptions and stress scenarios.
- Freeze Inputs
- Walk Policy Paths
- Apply Shocks
- Score Tradeoffs
- Rank Decisions
Python · Bloomberg/public-source exports · ARDL-style / prior-based transmission · BVARX checks · Scenario simulation · Automated reporting
365 paths17 scenarios6,205 evaluations
MARKET DATA INFRASTRUCTURE
04Market Data Processing Platform
Built a web application that queues market-data requests, batches API retrieval, processes time series and generates downloadable outputs.
- Request
- Queue
- Batch
- Retrieve
- Process
- Download
Next.js · TypeScript · Node.js · Express · SQLite · node-cron · Polygon
DataFlow / workflow overview
RequestQueueBatchRetrieveProcessDownload
CURRENT EXPERIENCE
RBC — Investment Product Analytics
Product & Pricing · Investment Products
Supporting investment-product analysis across product economics, pricing inputs, benchmarking and scenario sensitivities with product and data-science teams.