Quant Research Intern: ML-Powered Signals & Data Analytics

Man Group

Hong Kong

Vor Ort

HKD 80.000 - 120.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Flexible working arrangements
Professional development opportunities
Competitive holiday entitlements
Comprehensive benefits package

Zusammenfassung

Man Group, based in Hong Kong, is looking for a Quantitative Portfolio Management Analyst to collaborate with Portfolio Managers and implement investment strategies. Key responsibilities include validating investment signals, analyzing portfolio performance, and working with large datasets. Ideal candidates should have strong Python skills and experience in quantitative methods. The role also offers opportunities to engage in research projects and contribute to the firm's systematic investment strategies.

Qualifikationen

  • Ability to work closely with Portfolio Managers and Portfolio Analysts.
  • Experience in monitoring portfolio risk and conducting analysis.
  • Skills in data quality identification from large datasets.

Aufgaben

  • Work with Portfolio Managers to validate investment signals.
  • Analyze portfolio construction to ensure integrity.
  • Design tools for evaluating portfolio performance.

Kenntnisse

Strong Python proficiency
Solid foundation in quantitative methods
Hands-on experience with ML/DL
Exposure to factor-based strategies
Comfortable working with new datasets

Ausbildung

Currently enrolled at a top-tier university in Computer Science, Mathematics, Statistics, Physics, or related field

Tools

PyTorch
TensorFlow

Jobbeschreibung

Man Group, based in Hong Kong, is looking for a Quantitative Portfolio Management Analyst to collaborate with Portfolio Managers and implement investment strategies. Key responsibilities include validating investment signals, analyzing portfolio performance, and working with large datasets. Ideal candidates should have strong Python skills and experience in quantitative methods. The role also offers opportunities to engage in research projects and contribute to the firm's systematic investment strategies.
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