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Open nowFirst seen 34 hours ago

Quantitative Developer

IO TECH SOLUTIONS LIMITED787 open roles

Where
Hong Kong, Hong Kong SAR, Hong Kong
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Your applicationOpen nowQuantitative DeveloperIO TECH SOLUTIONS LIMITED · Hong Kong, Hong Kong SAR, Hong Kong
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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 34 hours ago

The posting

About the Firm:

Our client is a highly regarded investment firm based in Hong Kong, known for their innovative approach to technology and commitment to excellence. Their team consists of top-tier professionals dedicated to delivering exceptional investment strategies and solutions. They thrive on leveraging cutting-edge technology and quantitative methods to stay ahead in the competitive financial markets.

Requirements:

  • Proficiency in C++ or Java
  • Strong understanding of algorithmic trading and market microstructure
  • Experience with quantitative analysis and statistical modeling
  • Familiarity with data analysis tools and libraries (e.g., Pandas, NumPy)
  • Knowledge of financial instruments and trading strategies
  • Ability to work with large datasets and perform data mining
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to work in a collaborative environment

Responsibilities:

  • Develop and optimize execution algorithms to enhance trading performance
  • Conduct quantitative research to identify new trading opportunities
  • Collaborate with traders and other quants to implement and refine trading strategies
  • Analyze market data to monitor and improve the effectiveness of trading algorithms
  • Maintain and upgrade existing trading systems and infrastructure
  • Ensure the robustness and reliability of execution systems through rigorous testing and validation

Join the team and contribute to their mission of pushing the boundaries of investment technology and quantitative finance.

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