Quantitative Developer - Pre/Post-Trade Analytics at Qube Research & Technologies | Hong Kong, Hong Kong
Company/Recruiter: Qube Research & Technologies
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Opportunity type
Job
Location
Hong Kong
Work arrangement
Location-based; remote work not stated
Compensation
Not disclosed
Closing date
Oct 28, 2026
Employer
Qube Research & Technologies
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Role shape: Responsibility-led role with a detailed skills profile.
Evidence to prepare: Connect your CV or portfolio to Proven experience in quantitative development or a related analytical role.; Strong proficiency in programming languages such as Python, C++, or Java.. Use one concrete example that shows you can Develop and maintain quantitative models and algorithms for pre-trade analysis and risk management..
Check before applying: Confirm that Hong Kong and the stated work arrangement suit you, check the closing date of Oct 28, 2026.
- Apply before Oct 28, 2026.
- The application route is available to verified Talent accounts.
- Compensation is not disclosed in the listing; confirm it during the employer's process.
Job Overview
The Quantitative Developer will be instrumental in designing, developing, and implementing sophisticated analytical tools and frameworks for pre-trade analysis and post-trade performance evaluation. This position demands a strong blend of quantitative aptitude, programming expertise, and a deep understanding of financial markets.Key Responsibilities
- Develop and maintain quantitative models and algorithms for pre-trade analysis and risk management.
- Implement and optimize systems for post-trade performance attribution and reporting.
- Collaborate with traders and researchers to translate analytical requirements into robust software solutions.
- Analyze large datasets to identify trends and insights related to trading strategies and market behaviour.
- Ensure the scalability, reliability, and efficiency of all developed analytical tools.
Requirements
- Proven experience in quantitative development or a related analytical role.
- Strong proficiency in programming languages such as Python, C++, or Java.
- Solid understanding of financial markets, trading strategies, and risk management concepts.
- Excellent problem-solving and analytical skills.
- Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Mathematics, Physics, Engineering).
What We Offer
- A challenging and rewarding career in a high-frequency trading environment.
- Opportunities for professional growth and development.
- Competitive compensation and benefits package.
- A collaborative and innovative work culture.
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