Low-Latency Options Pricing Engineer

SIG

Hong Kong

On-site

HKD 900,000 - 1,500,000

Full time

11 days ago

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Benefits offered by this job

Private healthcare
Lunch allowance
Education Assistance Program
Matched donations
Corporate discounts

Job summary

Susquehanna is seeking a Software Engineer to join our Electronic Options Trading team in Hong Kong. You will build and optimize core systems powering pricing and risk calculations used by traders and quants.

This hands-on role requires strong C# and Python, multi-threading, and performance-focused backend development, plus collaboration with traders and researchers to implement pricing models and scalable infrastructure.

Qualifications

  • Strong background in C# and Python with OOP, multi-threading and performance-focused backend development.
  • Experience in financial markets technology, particularly derivatives pricing or quantitative model integration.
  • Deep understanding of quantitative pricing models for options and derivatives products.
  • Degree in Computer Science, Mathematics, Engineering, or related technical field.
  • Strong analytical skills and collaboration with Traders and Quants.

Responsibilities

  • Design, develop, and optimize software for low-latency options pricing and risk management.
  • Work closely with traders, quantitative researchers, and engineers to understand strategies and deliver high-performance solutions.
  • Implement and enhance volatility and pricing parameter features for exchange-traded options products.
  • Apply strong software engineering principles to ensure system performance, reliability, and scalability.
  • Contribute to the continuous improvement of pricing and risk infrastructure.

Skills

C#
Python
OOP
Multi-threading
Performance optimization
Back-end development

Education

Bachelor's degree in CS/Math/Engineering

Job description

Susquehanna is seeking a Software Engineer to join our Electronic Options Trading team in Hong Kong. You will build and optimize core systems powering pricing and risk calculations used by traders and quants.

This hands-on role requires strong C# and Python, multi-threading, and performance-focused backend development, plus collaboration with traders and researchers to implement pricing models and scalable infrastructure.

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