Quantitative Trading and Research – Prime Financial Services – Associate/ Vice President
On-site · Hong Kong Island, Hong Kong
Job Summary
The Prime Financial Services Quantitative Trading & Research team seeks a Vice President or Associate to partner with trading, technology, and risk stakeholders to transform and automate trading and risk/pricing workflows. Responsibilities span research to production deployment, including developing data-driven analytics for risk, inventory, and financing decisions; designing systematic trading strategies, hedging and client analytics; building portfolio optimization frameworks for prime inventory, financing books, and hedging overlays; improving collateral and inventory stability; and delivering governance, monitoring, and performance attribution for models in production. Candidates should demonstrate ability to translate complex quantitative ideas into business impact, communicate insights to senior desk stakeholders, own end-to-end delivery, and drive front-office oriented analysis and tooling. The role emphasizes strong quantitative modeling, statistics, financial mathematics, market microstructure knowledge, large-scale data work, and solid Python software engineering, with additional preference for ML methods in trading, execution algorithms, and portfolio construction under real-world constraints.
Required Qualifications
- Advanced degree (Master’s/PhD or equivalent) in a quantitative discipline (Math, Stats, Physics, Engineering, Computer Science, or similar)
- Experience in quantitative modeling in equities or closely related asset classes
- Strong understanding of statistics, financial mathematics, and optimization (linear/convex/conic optimization preferred)
- Familiarity with PFS products (stock loan/borrow, cash financing, synthetic financing) and related market microstructure
- Demonstrated ability to work with large, complex, high-dimensional data and deliver production-quality analytics
- Strong software engineering skills with proficiency in Python and capabilities in efficiently delivering solutions leveraging Generative AI models
- Experience with research-to-production delivery, including testing, monitoring, and performance measurement
- Ability to communicate complex quantitative concepts clearly to trading and senior stakeholders
- Strong ownership mindset, drive, and ability to work in a front-office environment
- Preferred: Experience applying machine learning methods to trading, forecasting, or risk problems
- Preferred: Prior work on execution algorithms, transaction cost modeling, or alpha/risk signal research
- Preferred: Experience with portfolio construction under real-world constraints (limits, liquidity, costs, borrow/financing constraints)
- Preferred: Knowledge of kdb+/q or willingness to learn quickly
- Preferred: Knowledge of C++
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