Willy Heng
Lead Portfolio Manager, Asset Allocation
Singapore, Singapore
Summary
👤
Senior🎓
Top SchoolWilly Heng is a lead portfolio manager at the Monetary Authority of Singapore with nine years of experience in multi-asset allocation, portfolio construction and reserve management across Singapore and London. He combines deep quantitative skill in Python, R and BQuant with a machine learning master's from Georgia Tech and an asset-management distinction from London Business School, enabling data-driven long-term return forecasts and trading-model development. His background spans hands-on trading of bonds, FX and derivatives to building macro and trading models, reflecting a rare blend of practitioner-level markets experience and research-oriented coding. An independent, curious learner who began in quant-driven portfolio systems as an intern, he continually seeks incremental improvement and operationalizes research into investable strategies. Colleagues describe him as analytically rigorous yet pragmatic, able to translate complex macro views into portfolio tilts and implementable signals.
9 years of coding experience
8 years of employment as a software developer
Masters in Finance (Post-Experience), Asset Management, Distinction, Masters in Finance (Post-Experience), Asset Management, Distinction at London Business SchoolDouble Degree in Business and Accountancy, Banking and Finance, Double First Class Honours, Double Degree in Business and Accountancy, Banking and Finance, Double First Class Honours at Nanyang Technological UniversityMasters of Computer Science, Machine Learning, Masters of Computer Science, Machine Learning at Georgia Institute of TechnologyIntegrated Programme, Integrated Programme at Raffles Institution
Japanese, Chinese, EnglishProgramming languages (2)
Github contributions (5)
willyheng/guestbook
Jan 2021 - Mar 2021
Contributions:11 pushes, 1 branch, 2 issues in 2 months
willyheng/willyheng.github.io
Mar 2017 - Aug 2017
Contributions:18 pushes, 1 branch in 4 months
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