Ritchie Ng

Singaporean

Summary

Industry

Head of Data & AI at Eastspring Investments leading data engineering and applied deep learning research globally.

Core tech stack: Python, Golang, CUDA, SQL, Bash, and Docker.

Previously programmed end-to-end systems covering data engineering, systematic trading, and deep learning signals for systematic systems trading billions in systematic global macro hedge funds.

Academia

Visiting Research Scholar in NExT++ Lab, a joint AI research lab based in National University of Singapore (NUS) between NUS and Tsinghua University.

Education

Master's degree from Imperial College London and Bachelor's degree from NUS.

Awards, Fellowships, and Scholarships

  • Singapore Computer Society IT Youth Leader of The Year (2019)
    100%
  • NUS Chua Thian Poh Community Leadership Programme Fellow (2018)
    100%
  • NUS Philip Yeo Innovation Fellowship (2017)
    100%
  • NUS Global Merit Scholarship (2014-2018)
    100%

Papers, Workshops, and Projects

Selected Open Access Publications
Corporate Experience
2021 - Present
Corporate Experience
Head of Data & AI

• Head of Data & AI at Eastspring Investments leading data engineering and applied deep learning research globally.

• Created the entire engineering team from scratch and scaled the team to more than 20 (BSc, MSc and PhD) based in Singapore with our engineering leads hired from leading global macro systematic hedge funds. 

• Built the entire proprietary cloud-native Data & AI platform, Hera, internally powering data and analytics applications across every functional division: investments, distribution, ESG, finance, risk & compliance, and COO.

• Established applied machine learning and deep learning research projects with NUS and Imperial College London, publishing 3 peer-reviewed deep learning papers setting state-of-the-art results in leading conferences within a year.

• Core tech stack: Python, Go, SQL, Bash, Terraform, and Docker.

• Reporting directly into Singapore CEO and Group COO (Group Executive Management Committee). 

Academia Experience
2016 - Present
Academia Experience
Research Scholar / NExT++ NUS

• Conducting open-source applied deep learning research with multimodal and multilingual data in Asian systematic trading strategies

• Published papers in top-tier workshops and conferences like ICML and SIGIR

• Based in Sea-NExT Lab, a joint AI research lab based in National University of Singapore (NUS) between NUS, Tsinghua University, University of Southampton, and Sea Ltd.

Academia Experience
Master's Degree / Imperial College London

• MSc in Business Analytics

Academia Experience
Bachelor's Degree / NUS

• First Class Honours (Highest Distinction)

• NUS Global Merit Scholar (Top Full Scholarship)

• Philip Yeo Innovation (PYI) Fellow

• Chua Thian Poh CLP Fellow