System Developer (Options Trading Systems)
Looking for a skilled and driven Software Developer to become an integral part of the Options Technology Team. In this role, you will contribute to designing innovative solutions for our Options trading operations while assisting in the development, upkeep, and enhancement of a round-the-clock automated trading platform utilized globally;
Client Details
Our client, a western-based hedge fund house. It uses a variety of technological methods, including artificial intelligence, machine learning, and distributed computing, for its trading strategies. The low-latency trading platform is managed by a group of experienced traders and technical experts. They are currently looking for a Junior Trading Platform Developer to be trained by their experienced engineers.
Job Responsibilities
- Design, develop and support a high-performance, dependable execution and pricing trading platforms;
- Work with traders and researchers to address intricate challenges in derivatives pricing;
- Develop an ultra-low-latency trading platforms, tailored automation tools, and user-facing applications;
- Gain deep insights into the fast-paced and competitive domain of derivatives trading;
Job Requirements (MUST HAVE)
- Degree/ MS/ PhD in Computer Science/ highly quantitative subjects (statistics, physics, mathematics etc.) OR relevant fields;
- AT LEAST 2-3 years in C++ is a MUST; Welcome candidates with experience in C OR JAVA OR Rust;
- Sounds knowledgeable/ solid experience in "High Frequency Trading" or "strong intraday performance";
- Sounds knowledgeable in "Options" experience a bonus.
- Experience in Multi-Threaded design and implementation;
- Experience in Python and good SQL;
- Proficiency in English;
Offering
- A competitive compensation packages for a Junior Developer with a 20%-25% base salary increment for relevant right experience candidates;
- 2 months bonus;
- Exposure to the quant pipeline from signal generation to backtesting;
- Individual contributions highly rewarded, and clear progression systems;
- Highly intensive, hands on role in crucial projects;
- WFH; 2 days a week;
To apply online please click the 'Apply' button below.
For a confidential discussion about this role please contact Joe Tsoi on +852 2848 4737.
Additional Information
Education
Bachelor Degree
Employment Type
Full Time
Job Ref. No.
JN -032025-6701827_28708
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