Quantitative Researcher: Market Models & Data Insight (Singapore)

Graviton Research Capital LLP

Singapore

Sur place

SGD 120 000 - 180 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Competitive compensation
4 Weeks paid vacation
Regular after work parties
Top of the line health insurance for家

Résumé du poste

Graviton Research Capital LLP in Singapore is seeking a Quantitative Researcher to join our team. You will work on trading models across assets, using time series analysis, stochastic models, pattern recognition, and large-scale data to identify pricing anomalies.

You will develop new models, analyze terabytes of data, and provide real-time analytical support to traders. A degree in engineering, mathematics, or CS, plus programming in C/C++ and Linux/Unix knowledge, are required.

Qualifications

  • Degree in a highly analytical field (Engineering, Mathematics, Computer Science).
  • Quantitative bent of mind and strong analytical skills.
  • Working knowledge of Linux/Unix.
  • Programming experience, preferably in C++ or C.
  • No prior knowledge of financial markets is needed but must have a strong interest in learning about financial markets.
  • Strong work ethics and professional attitude.

Responsabilités

  • Develop new or improve existing trading models using in-house platforms.
  • Use advanced mathematical techniques to model and predict market movements.
  • Analyse large financial datasets to identify trading opportunities.
  • Provide real time analytical support to experienced traders.

Connaissances

Quantitative mind
Linux/Unix knowledge
Strong work ethic

Formation

Engineering/Mathematics/CS degree

Outils

C/C++

Description du poste

Graviton Research Capital LLP in Singapore is seeking a Quantitative Researcher to join our team. You will work on trading models across assets, using time series analysis, stochastic models, pattern recognition, and large-scale data to identify pricing anomalies.

You will develop new models, analyze terabytes of data, and provide real-time analytical support to traders. A degree in engineering, mathematics, or CS, plus programming in C/C++ and Linux/Unix knowledge, are required.

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