Hi, I’m Wylie Chan. I am a seasoned quantitative risk and portfolio analytics professional with a track record across global asset classes, derivatives, and macro risk frameworks. I enjoy turning data into strategic insights, building scalable risk platforms, and applying factor models to optimize returns and risk attribution. In my current work, I run a home consultancy and build Python-based tools to analyze cloud infrastructure, liquidity in crypto DeFi, and risk measures such as VaR and risk parity. I’m fluent with Python, SQL, Excel VBA, and Bloomberg/IB APIs, and I love collaborating with colleagues to solve complex problems and deliver tangible value.
Currently running Artificial Autonomy Pte. Ltd. as a Singapore-based venture, I focus on data analysis on cloud infrastructure, factor-model research for returns and risk attribution, DeFi liquidity/volatility research, and VaR/risk-parity tooling. I’m actively building a Python platform with Yahoo Finance data, managing retirement portfolios for friends and family, and contributing to alpha research platforms. My approach blends rigorous quantitative methods with practical execution in fast-moving markets, leveraging tools like WorldQuant BRAIN, IB TWS API, and Bloomberg APIs to deliver actionable insights.
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This Excel spreadsheet contains Visual Basic (VBA) functions that calculate option price and risk (Greeks), namely:
Delta, Gamma, Speed, Vega, Volga, Vanna, Theta, Rho(=ppmu+ppr), ppmu (Sensitivity to Drift), ppr (Sensitivity to Risk-Free-Rate)
Black-Scholes Option Pricing Framework
Underlying Returns Distributions Assumptions: Log-Normal
Exercise Types: European
Product Types: Puts, Calls
Payoff Types: Digital (Binary), Analog (Vanilla)
The functions are exposed and usable within the spreadsheet cells.
A sample sheet is provided to demonstrate how the functions are used.
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