Global Quantitative Researcher — AI-Driven Trading & Data

MS Capital Singapore

Hong Kong

Hybrid

HKD 900,000 - 1,300,000

Full time

4 days ago
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Job summary

MS Capital Singapore is seeking quantitative researchers to develop systematic trading strategies and robust data pipelines. The team emphasizes AI/ML and integrates research into production, with flexible locations across Asia.

The role requires a strong background in quant research and programming, and collaboration with traders and quants to translate insights into trading systems. The company values advanced AI R&D capabilities and aims to deliver high-quality trading services with reliable

Qualifications

  • Degree in Computer Science, Mathematics, Engineering, Finance or related field.
  • Experience in quant research, data engineering, or systematic trading in hedge funds/asset managers/prop firms.
  • Strong programming skills using Python or C++ (or other languages).
  • Familiarity with global equity markets and financial data.
  • Strong problem-solving ability, attention to detail, and learning agility.

Responsibilities

  • Research and develop systematic trading strategies across global markets.
  • Extract signals from market data to build quantitative models.
  • Design and implement backtesting and research pipelines.
  • Build and maintain data infrastructure including data ingestion, cleaning, normalization and standardization.
  • Manage security master and identifier mapping (ISIN, CUSIP, SEDOL, RIC, Bloomberg).
  • Collaborate with PMs, quants and traders to translate research into production.

Skills

Python
C++
Problem-solving
Learning agility
Financial data familiarity

Education

Degree in Computer Science/Math/Engineering/Finance

Job description

MS Capital Singapore is seeking quantitative researchers to develop systematic trading strategies and robust data pipelines. The team emphasizes AI/ML and integrates research into production, with flexible locations across Asia.

The role requires a strong background in quant research and programming, and collaboration with traders and quants to translate insights into trading systems. The company values advanced AI R&D capabilities and aims to deliver high-quality trading services with reliable

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