Location: Shanghai

1. Firm Context

One of the most established and consistently top-performing quantitative funds in China.

The firm has maintained industry-leading performance since inception and operates at global standards in both research depth and capital efficiency.

Its High Frequency Trading platform is equity-focused, with expanding coverage across global equities markets.

2. Platform Characteristics

This platform stands out for three structural reasons:

  • Proven Performance Stability – Long-term leading track record, not short-cycle outperformance.
  • Equity-Focused HFT Infrastructure – Deep expertise in high-frequency stock trading with production-grade execution systems.
  • Research-First Culture – Low internal friction, high research autonomy, and minimal administrative overhead.

The environment is known for strong talent density and an efficient, performance-oriented workflow.

3. Role Mandate

The firm is seeking experienced HFT Quant Researchers specializing in equity trading.

Key responsibilities include:

  • Developing and deploying high-frequency alpha signals in equities
  • Optimizing signal robustness under real microstructure constraints
  • Collaborating closely with trading and engineering teams
  • Contributing to global equity strategy expansion

This is positioned as a core research role within a rapidly growing HFT equity platform.

Ideal background:

  • Demonstrated HFT research experience in equities
  • Strong statistical modeling capability
  • Deep understanding of order book dynamics and market microstructure
  • Proven ability to bring signals from research to production
  1. Compensation Total compensation ranges approximately from USD 500K to 1.2M, benchmarked to global pay standards.

Compensation reflects:

  • Competitive base
  • Performance-based bonus
  • Potential alpha-linked incentives

Economics are directly aligned with measurable research contribution.

5. Evaluation Focus

Assessment centers on:

  • Signal generation depth
  • Production viability
  • Microstructure understanding
  • Research scalability

Process is direct and performance-driven.

Contact: donggao129@gmail.com