Quantitative Modeling Expert

5 days ago


Hong Kong, Central and Western District, Hong Kong SAR China HARBRIDGE PARTNERS Full time

At Harbridge Partners, we seek a talented Quantitative Modeling Expert to join our Day Trading Team in Hong Kong.

The ideal candidate will have several core areas of focus:

  1. Machine Learning (ML) Related Tasks:

    • Establish the team's proprietary ML pipeline, encompassing data sampling and reporting
    • Implement the team's proprietary ML models
    • Enhance existing ML packages with new features
    • Numerically optimize ML algorithms for improved performance
  2. Microstructures Research:

    • Develop tools for researching microstructure features
    • Collaborate with quant researchers to generate microstructure features
  3. Portfolio Optimization and Execution:

    • Design portfolio optimizers for efficient asset allocation
    • Implement execution strategies using the firm's infrastructure platform
    • Create execution simulators to streamline trading operations
  4. Data Pipeline, Computing Farm, and General IT Management:

    • Work alongside the firm's data team to onboard market and alternative data
    • Maintain the computing farm for optimal performance
    • Oversee general storage and IT management responsibilities

The primary focus areas are 1, 2, and 3. The successful candidate will tackle problems within these domains.

We require exceptional learning abilities and strong software development skills. The ideal candidate should demonstrate a passion for solving complex problems through efficient coding and effective module design.

Prior experience in finance is not essential, but candidates should have a proven track record of resolving challenging problems through coding. Experience working with industrial-grade codebases using compiled languages such as C++, Java, or Go would be highly beneficial.

We value confidentiality and discretion in our hiring process. If you are interested in this opportunity, please send your updated resume or LinkedIn URL to us for consideration.

Contact us for a confidential discussion about this role.



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