Machine Learning (ML) Quantitative Developer (Day Trading Team)

Our client is one of the world's most famous and largest multi-strategy and multi-manager hedge funds, and one of their Systematic Intraday Trading (Day Trading) team is looking bring onboard a ML Quant Developer (Chinese language knowledge is preferred). The successful candidate should come with Machine Learning algo experience, and prior experience in developing tools toward microstructure research and portfolio execution. The successful candidate should come with Machine Learning algo experie

HARBRIDGE PARTNERS - Hong Kong - Full time

Salary: Competitive

Title: Machine Learning (ML) Quantitative Developer (Day Trading Team)

Location:  Hong Kong

 

The Quantitative Developer (QD) has several core work domains:

  1. Machine Learning (ML) Related Tasks:

* Establish the team's proprietary ML pipeline, encompassing everything from data sampling to reporting * Implement the team's proprietary ML models. * Enhance existing ML packages with new features. * Numerically optimize ML algorithms to boost performance.

  1. Microstructures Research: * Develop tools for researching microstructure features. * Collaborate with quant researchers to generate microstructure features.
  2. Portfolio Optimization and Execution: * Design portfolio optimizers for efficient asset allocation. * Implement execution strategies utilizing the firm's infrastructure platform. * Create execution simulators to streamline trading operations.
  3. 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 to ensure optimal performance. * Oversee general storage and IT management responsibilities.

Among these domains, areas 1, 2, and 3 are of paramount importance. The QD will primarily tackle problems within these areas.

The ideal candidate should demonstrate exceptional learning abilities and strong software development skills. They must demonstrate a passion for solving complex problems by writing efficient software composed of effective modules. While prior experience in finance is not essential, candidates should have a proven track record of resolving challenging problems through coding. It would be highly beneficial if candidates have over two years of experience working with industrial-grade codebases using compiled languages such as C++, Java, or Go.

 

For a confidential discussion, please send an email with your updated resume or LinkedIn URL, with contact details in the first instance to:
 

cv(at)harbridgepartners(dot)com

 

Contact the retained consultants, Edward Chen or Richard Liu on +852 2523 9955

 

Harbridge Partners Limited

Employment Agency License: 75427

 

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