AI-Driven Quantitative Investment Scientist

SINGCHAIN CAPITAL MANAGEMENT PTE. LTD.

Singapore

On-site

SGD 120,000 - 190,000

Full time

5 days ago
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Job summary

SINGCHAIN CAPITAL MANAGEMENT PTE. LTD. is seeking a Quantitative Research Scientist to lead research and develop proprietary investment products and systematic strategies for the Family Office.

The role blends econometrics, statistical learning and AI to identify opportunities and translate findings into practical investment products across global markets. You will conduct quantitative research on equities, derivatives and cross-asset opportunities, build predictive signals and factor models,

Qualifications

  • PhD or MSc in Economics, Quantitative Finance, Mathematics, Statistics or related field.
  • Strong background in quantitative research, econometrics and machine learning.
  • Ability to translate research into practical investment ideas.

Responsibilities

  • Develop proprietary quantitative investment products and systematic strategies.
  • Create models for market analysis, signal generation and asset pricing.
  • Apply AI/ML methods to financial data and alternative datasets.
  • Perform back-testing, robustness testing and performance analysis.
  • Support portfolio construction and risk assessment with quantitative insights.
  • Collaborate with other teams to implement research into live strategies.

Skills

PhD/MSc
Quant research
Econometrics
ML
Statistical modelling
Programming
Communication

Education

PhD or MSc in quantitative field

Job description

SINGCHAIN CAPITAL MANAGEMENT PTE. LTD. is seeking a Quantitative Research Scientist to lead research and develop proprietary investment products and systematic strategies for the Family Office.

The role blends econometrics, statistical learning and AI to identify opportunities and translate findings into practical investment products across global markets. You will conduct quantitative research on equities, derivatives and cross-asset opportunities, build predictive signals and factor models,

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