Graduate Quantitative Researcher — Signals & Trading

DV Trading LLC

Hong Kong

On-site

HKD 420,000 - 640,000

Full time

14 days+

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Job summary

DV Trading LLC in Hong Kong is seeking a 2027 Quantitative Researcher (Graduate) to join our equities team, taking ownership of systematic signal generation across horizons. This role suits recent graduates with strong quantitative foundations and hands-on research or internship experience in market data and models.

You will work with senior researchers and traders to develop predictive signals, backtest models, and contribute to data pipelines for high-frequency and time-series data in a

Qualifications

  • Pursuing Bachelor's/Master's/PhD in quantitative field with expected graduation by Summer 2027.
  • Strong Python; SQL/C++ preferred.
  • Solid foundation in math, probability and statistics.
  • Genuine interest in financial markets, algorithmic trading, and market microstructure.

Responsibilities

  • Analyze market data to uncover patterns, inefficiencies, and predictive signals across different time horizons.
  • Build and backtest quantitative models using historical market data in a simulation environment.
  • Apply statistical and machine learning techniques—with an emphasis on tree‑based methods—to enhance signal quality.
  • Collaborate closely with traders and researchers to translate research insights into robust trading strategies.
  • Contribute to the development and maintenance of data pipelines for large‑scale, high‑frequency, and time‑series market data.
  • Iterate on research prototypes based on backtest results and team feedback, with increasing independence.
  • Monitor live strategy performance and refine models based on real market feedback.

Skills

Python
SQL
C++
Mathematics
Statistics
Machine Learning

Education

Bachelor's/Master's/PhD in quantitative field

Tools

Python
SQL
C++

Job description

DV Trading LLC in Hong Kong is seeking a 2027 Quantitative Researcher (Graduate) to join our equities team, taking ownership of systematic signal generation across horizons. This role suits recent graduates with strong quantitative foundations and hands-on research or internship experience in market data and models.

You will work with senior researchers and traders to develop predictive signals, backtest models, and contribute to data pipelines for high-frequency and time-series data in a

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