Senior Java Developer: Low-Latency Trading & Risk

IO Tech Solutions Limited

Hong Kong

On-site

HKD 600,000 - 1,200,000

Full time

3 days ago
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Benefits offered by this job

Relocation support
Visa sponsorship
Global team in Hong Kong

Job summary

IO Tech Solutions is seeking a Senior Java Developer to build and optimize a low‑latency risk & pricing platform for flow volatility products, collaborating with traders, quants, and sales in Hong Kong.

You will own end‑to‑end delivery of a high‑performance pricing and risk system, work with Linux and low‑latency messaging, and apply deep derivatives knowledge to real‑time analytics and post‑trade reporting.

Qualifications

  • Advanced Core Java with multithreading expertise.
  • 6+ years of hands‑on development (VP level).
  • Solid understanding of equity derivatives and trading workflows.
  • Fluent English – Cantonese/Mandarin a plus.

Responsibilities

  • Own end‑to‑end delivery of a high‑performance pricing and risk system – from multithreaded Java code and unit tests to production support
  • Partner closely with traders and quants to implement auto delta hedging, vega roll strategies, and real‑time trade capture
  • Apply deep equity derivatives knowledge (pricing, risk, order management) to build volatility fitting, visualization, and pre/post‑trade analytics
  • Work with Linux, distributed messaging (Solace, ZeroMQ, or similar), and low‑latency techniques – live ticking data and regulatory reporting
  • Zero‑garbage‑collection experience is a strong plus, as is a background in high‑frequency or low‑latency trading systems

Skills

Core Java
Multithreading
Equity derivatives
English fluency

Tools

Linux
Solace
ZeroMQ

Job description

IO Tech Solutions is seeking a Senior Java Developer to build and optimize a low‑latency risk & pricing platform for flow volatility products, collaborating with traders, quants, and sales in Hong Kong.

You will own end‑to‑end delivery of a high‑performance pricing and risk system, work with Linux and low‑latency messaging, and apply deep derivatives knowledge to real‑time analytics and post‑trade reporting.

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