$ whoami

Julian Chang

Technology Delivery Lead · Quant Student
Ex-aerospace engineer turned quant, building at the intersection of applied math, markets, and code. Currently pursuing a Masters in Quantitative Finance at SMU while leading AI, data analytics and automation in DBS Global Financial Markets.
Quant Finance Python C++ Machine Learning HFT Derivatives Macro Trading
→ View Projects Connect
// about

I'm a Technology Delivery Lead at DBS Bank with over 4 years of experience, currently driving data analytics, automation, and AI delivery in DBS Global Financial Markets while pursuing my Masters of Quantitative Finance at Singapore Management University (class of 2026).

Before finance, I was an aerospace engineer who fell in love with data science — I completed General Assembly's Data Science Immersive in 2021 and never looked back.

My mission is to combine two lifelong passions: investing and applied mathematics. When I'm not pricing derivatives or building trading strategies, you'll find me following global macro markets, playing rugby, or cheering for Onosato in sumo.

// skills

Languages

Python C++ Scala SQL Bash

Quant & Data

numpy / pandas PyTorch sklearn stable-baseline3 FastAPI Tableau

Infrastructure

Docker Unix Spark Kafka Git

Quant Finance

Options Pricing SABR Model Vasicek / Hull-White Monte Carlo Binomial Trees HFT Strategies Dynamic Hedging
// projects

QF621 — High Frequency Trading

SMU MQF coursework

HFT strategy analysis with order book simulation, microstructure modeling, and backtesting framework implementation.

HFTMarket MicrostructurePython

Fixed Income & Derivatives Suite

QF605 — SMU MQF

Swap curve bootstrapping, IRS pricing, forward swaps, no-arbitrage forward pricing with collateralised rates. Vasicek, Ho-Lee, Hull-White short rate models and convexity correction.

Fixed IncomeSwapsPython

Stochastic Methods — Exotic Options

QF620 — SMU MQF

Binomial trees, Brownian motion simulation, exotic option pricing via Monte Carlo, Carr-Madan model-free pricing, SABR calibration, Black-Scholes dynamic hedging with tracking error analysis.

Stochastic CalculusOptionsSABRMonte Carlo

Automated Portfolio Allocator

Deep Reinforcement Learning

Portfolio optimization using FinRL and stable-baseline3 with PPO. Efficient frontier analysis and Monte Carlo simulations for allocation strategies.

DRLPPOFinRLPortfolio Theory

NLP — Reddit Classification

Data Science Portfolio

TF-IDF, CountVectoriser, and RandomForest-based classification on Reddit posts. End-to-end NLP pipeline with sklearn.

NLPsklearnPython

HDB Resale Analysis

Data Science Portfolio

Singapore HDB resale price analysis using RandomForest regression, K-clustering, and difference-in-difference modeling. Interactive Tableau dashboard.

RegressionClusteringTableauDiD

C++ Options Pricing

QF633 — SMU MQF

Object-oriented options pricing framework in C++. Implements various payoff structures and pricing models with clean OOP architecture.

C++OOPOptions
// global macro sentiment

Daily batch pipeline that scrapes FinTwit, Reddit, news RSS feeds, and market data to score global macro sentiment using VADER and FinBERT. Results are stored in SQLite and published as a live dashboard via GitHub Actions.

</> View on GitHub ↗ Live Dashboard

Auto-updates daily via GitHub Actions. Sources: FinTwit (Nitter RSS), Reddit, News RSS, Yahoo Finance.

// connect
</> GitHub in LinkedIn M Medium Tb Tableau Public