Quantitative Developer

Paragon Alpha - Hedge Fund Talent Business

Hong Kong

On-site

HKD 600,000 - 900,000

Full time

8 days ago

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Job summary

Paragon Alpha - Hedge Fund Talent Business in Hong Kong is seeking a Quant Developer to work directly with a senior Portfolio Manager on a live equities trading platform. You cover the full systematic trading lifecycle. You will ensure the trading environment runs reliably, monitor live systems and resolve issues, with 3–5+ years in a systematic trading setting and strong Python production experience, plus some C/C++ and SQL.

Qualifications

  • 3–5+ years of experience in systematic hedge funds or electronic trading.
  • Production-level Python experience; some C/C++ exposure and SQL.
  • Understanding of equity data and systematic equity trading beyond research focus.

Responsibilities

  • Monitor live trading and production systems.
  • Manage equity data ingestion, storage and processing.
  • Audit data workflows across downloads, model calculations and signal generation.
  • Support execution including order submission, monitoring and resubmission.

Skills

Python
C/C++
SQL

Job description

We are working with a leading systematic investment pod looking to hire a Quant Developer to work directly alongside a senior Portfolio Manager and support their live equities trading platform.

The role covers the full systematic trading lifecycle, from data ingestion and signal generation through to production trading and execution. You’ll be responsible for ensuring the trading environment runs reliably, monitoring live systems and resolving issues as they arise.

Key responsibilities:

  • Monitor live trading and production systems
  • Manage and validate equity data ingestion, storage and processing
  • Audit workflows across data downloads, model calculations and signal generation
  • Support execution including order submission, monitoring, cancellation and resubmission

You’ll need 3-5+ years of experience within a systematic hedge fund, prop shop or electronic trading environment, alongside strong production-level Python, some C/C++ exposure and SQL.

Crucially, we’re looking for someone with an in-depth understanding of equity data and systematic equity trading, rather than a purely research-focused developer

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