Quantitative Trading Intern: Backtest & Low-Latency Research

DV Trading

Hong Kong

Presencial

HKD 193.000 - 331.000

Tempo parcial

14 dias+

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

Passe pelos filtros ATS

Resumo da vaga

DV Trading is seeking a Quantitative Trading Intern to join the DV Equities team in Hong Kong. You will build, backtest, and refine quantitative models, working with traders and researchers to improve systematic strategies.

You will analyze high-frequency data, monitor positions, and contribute to low-latency execution enhancements. Strong Python skills are required; C++ is highly preferred, with Excel/data analysis experience joining the toolbox.

Qualificações

  • Pursuing a quantitative degree with expected graduation Summer 2027.
  • Strong interest in quantitative trading and market research.
  • Proficiency in Python; C++ experience is highly preferred.
  • Experience with Excel and data analysis tools.

Responsabilidades

  • Build, backtest, and refine quantitative trading models using historical market data.
  • Analyze large datasets to identify patterns and alpha signals for systematic strategies.
  • Monitor real-time trading positions and assist with risk management and parameter tweaks.
  • Collaborate with researchers and software developers to implement prototypes in low-latency execution systems.
  • Oversee daily trading processes and investigate discrepancies in P&L attribution.
  • Identify new market opportunities through data-driven research and present findings.

Conhecimentos

Python
C++
Excel
Data analysis
Time-series analysis
Financial markets
Communication

Formação

Quantitative field degree (Bachelor/Master/PhD)

Descrição da vaga

DV Trading is seeking a Quantitative Trading Intern to join the DV Equities team in Hong Kong. You will build, backtest, and refine quantitative models, working with traders and researchers to improve systematic strategies.

You will analyze high-frequency data, monitor positions, and contribute to low-latency execution enhancements. Strong Python skills are required; C++ is highly preferred, with Excel/data analysis experience joining the toolbox.

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