- My client is a leading quant investment firm, known for innovative strategies
- Team includes experts from top universities and giant tech companies
About Our Client
My client is a renowned quant investment firm, known for its cutting-edge financial strategies and innovation in the market. What sets them apart is their team of top-tier talent, lots of their team members are gold medallists from prestigious competitions. They offer a dynamic work environment where you'll collaborate with some of the brightest minds in the industry, working on high-impact projects in quantitative trading. The firm also provides ample opportunities for growth, making it an ideal place for ambitious individuals who thrive in fast-paced, challenging settings.
Job Description
- Develop and maintain equity and futures products to enhance service quality and optimise trading systems for efficient performance.
- Collaborate closely with researchers to integrate algorithmic trading platforms and drive continuous improvement of technical systems.
- Ensure the reliability of online services by adhering to best practices in areas such as code review and CI/CD.
- Support large-scale system designs to meet performance and reliability standards.
The Successful Applicant
- Bachelor's or higher in Computer Science or related field, with at least 4 years of experience.
- Proficiency in Linux; programming language is open.
- Experience with online services, service reliability, and best practices in Git, code review, and CI/CD.
- Strong interest in quantitative trading, no prior experience required.
- Preferred: Awards in ACM/ICPC, NOI/NOIP, or similar competitions.
- Preferred: Experience with large-scale, mission-critical systems.
- Preferred: Strong system design skills and low-level development experience.
What's on Offer
- Competitive compensation package with performance-driven bonuses and potential career advancement in the fast-growing field of quantitative finance.
- Exposure to high-impact projects in equity and futures product development, optimising trading systems, and algorithmic trading platform integration.
- A collaborative work environment that emphasises continuous learning, cutting-edge technology, and system reliability.
- Ideal for those with a strong interest in quantitative trading, with no prior experience required but the opportunity to grow within the field.
Contact
Lydia Chen (Lic No: R22108104 / EA no: 18C9065)
Quote job ref
JN-092024-6531936
Phone number
+65 6416 9829
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