Senior D1 Trader Senior VP or Director

Senior D1 Trader (Senior VP or 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 D1 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.