VP, Quantitative Trading Strategy (APAC Equities)

Nomura

Hong Kong

Sur place

HKD 1 500 000 - 2 700 000

Plein temps

Il y a 3 jours
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Résumé du poste

Nomura in Hong Kong is seeking a Vice President, Quantitative Strategist to join the Global Markets team in Asia Ex Japan. The role focuses on applying quantitative analysis to equities execution, driving revenue through execution quality, and collaborating with engineering.

Candidates should have strong data analysis skills, experience with large datasets, and proficiency in SQL and programming languages; prior work in algorithmic trading or market microstructure is advantageous; English

Qualifications

  • Proven experience extracting and analyzing insights from large and complex datasets using SQL.
  • Strong quantitative background with ability to apply models to trading contexts.
  • Excellent written and verbal communication in English.

Responsabilités

  • Improve quantitative performance of trading algorithms.
  • Perform research on trading outcomes to measure contextual efficacy of various trading strategies.
  • Perform and design A/B tests to evaluate
  • Design models to more effectively use trading tactics to achieve strategic performance, and work closely with engineering team to implement the models.
  • Be involved in algorithmic trading from inception of idea to research to quantitative follow-up.

Connaissances

Data analysis
Quantitative modelling
English communication
Team collaboration
Problem solving

Formation

University degree in Statistics / Mathematics / Physics / Computer Science

Outils

Python
C++
Matlab
Java
R
SQL

Description du poste

Nomura in Hong Kong is seeking a Vice President, Quantitative Strategist to join the Global Markets team in Asia Ex Japan. The role focuses on applying quantitative analysis to equities execution, driving revenue through execution quality, and collaborating with engineering.

Candidates should have strong data analysis skills, experience with large datasets, and proficiency in SQL and programming languages; prior work in algorithmic trading or market microstructure is advantageous; English

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