Quantitative Researcher: Real-Time Market Signals

Susquehanna International Group, LLP (SIG)

Sydney

Vor Ort

AUD 180.000 - 240.000

Vollzeit

Vor 11 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Susquehanna International Group, LLP (SIG) is seeking experienced Quantitative Researchers to apply mathematics, statistics, and programming to solve complex financial market problems. The role focuses on building predictive models and trading strategies with real-time impact.

Ideal candidates hold a PhD or equivalent in a quantitative field, with strong statistics knowledge, large-dataset experience, and Python coding skills.

Qualifikationen

  • PhD or equivalent degree in mathematics, physics, statistics, electrical engineering, computer science, operations research, economics, or related discipline.
  • Strong foundation in probability and statistics for modeling financial problems.
  • Experience working with large datasets and deriving insights.
  • Develop statistical forecasting models impacting real-time markets.
  • Proficient in clean, efficient coding; Python is a plus.

Aufgaben

  • Apply mathematics, statistics, and programming to solve complex problems in financial markets.
  • Develop and implement trading strategies with real-time impact.
  • Collaborate with traders, researchers, and developers to deploy solutions.

Kenntnisse

Probability & statistics
Large datasets analysis
Statistical forecasting models
Object-oriented programming
Python proficiency
Creative problem solving
Financial problem solving

Ausbildung

PhD or equivalent in math/physics/stats/engineering/CS/OR/economics

Jobbeschreibung

Susquehanna International Group, LLP (SIG) is seeking experienced Quantitative Researchers to apply mathematics, statistics, and programming to solve complex financial market problems. The role focuses on building predictive models and trading strategies with real-time impact.

Ideal candidates hold a PhD or equivalent in a quantitative field, with strong statistics knowledge, large-dataset experience, and Python coding skills.

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