Delta One Trader VP - Director
Fuku
| Company | Fuku |
| Category | Finance |
| Location | Hong Kong |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 15 Jun 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (workable) |
Description
Delta One Trader (VP - Director) About our client: - Top European Bank Location: - Hong Kong Responsibilities: - Drive the clients’ franchise by managing principal risk and leading trading across delta one products. - Oversee balance sheet usage and contribute to the strategic development of the Delta One platform across the region, with a primary market focus on Greater China and other markets. - Manage Delta One trading activities across index futures, ETFs, swaps, and cash equities, taking full ownership of risk and positioning. - Optimize hedging, inventory, and funding strategies under dynamic market conditions. - Partner with sales teams to grow and build market share. - Lead strategy development across APAC markets, identifying opportunities in ETFs, derivatives, and cross-market/index arbitrage. - Drive automation and systematic trading capabilities across execution and risk management. - Collaborate with technology teams to enhance pricing, infrastructure, and scalability. - Lead and develop the APAC trading team, fostering a strong risk and performance culture, and collaborate with global teams in Europe and the US. Pre-requisites: - Minimum of 10 years of solid and relevant experience. - Strong quantitative discipline, such as financial mathematics, engineering, quantitative finance, or similar fields. - Solid grounding in statistics, probability, machine learning, and financial modelling. - Hands-on experience in trading, market making, or systematic strategies, ideally across derivatives (options/futures) or multi-asset products. - Experience in algorithmic trading development, including strategy design, backtesting, and performance attribution. - Familiarity with market microstructure and liquidity dynamics, with the ability to adjust strategies based on market conditions. - Exposure to risk management, including monitoring of positions, Greeks, and real-time portfolio risk. - Strong programming capability, preferably in Python, with experience handling large datasets. - Practical experience with modern machine learning techniques and frameworks for modelling and prediction. - Ability to build or enhance trading infrastructure, such as pricing models, execution logic, dashboards, or automation tools. - Data-driven, analytical mindset with strong problem-solving skills. - Comfortable working across trading, quantitative research, and engineering functions. - Ability to translate quantitative insights into practical trading improvements.