High-Frequency PM | Lead P&L & Research, Digital Assets

KOS International Talent Group; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Benefits offered by this job

Profit sharing

Direct access to top-tier venues

Full-stack engineering support

Job summary

KOS International Talent Group has a client recruiting a Portfolio Manager for a large-scale global quantitative trading firm. The role focuses on leading high-frequency strategies, owning P&L, and driving the research roadmap on an in-house, low-latency stack.

The candidate will mentor quant researchers and traders, collaborate with FPGA/C++ teams, and tighten risk controls while expanding into new venues and instruments across global digital asset venues.

Qualifications

• Verifiable live P&L in digital asset high-frequency space.
• Deep understanding of market microstructure and latency budgeting.
• Hands-on backtesting, simulation and performance attribution for low-latency strategies.
• Fluency in Python; practical exposure to C++ preferred.
• Strict risk awareness and data-driven decision making.
• Excellent communication with engineers, researchers and risk teams.

Responsibilities

• Own end-to-end P&L for high-frequency strategies, including market making, intraday microstructure and latency arbitrage.
• Lead the research pipeline: define priorities, validate signals, backtest, AB tests and live deployment.
• Collaborate with FPGA/C++ low-latency engineering to optimize execution and feed handling.
• Design and enforce real-time risk framework; monitor drawdown, fill rate, slippage, and timing.
• Scale capacity and expand to new venues and instruments; mentor junior staff.
• Prepare performance attribution and periodic strategy reviews for stakeholders.

Skills

Python

C++

Quantitative trading

Backtesting

Risk management

Tools

Backtesting frameworks

Market data feeds

Exchange gateways

Job description

KOS International Talent Group has a client recruiting a Portfolio Manager for a large-scale global quantitative trading firm. The role focuses on leading high-frequency strategies, owning P&L, and driving the research roadmap on an in-house, low-latency stack.

The candidate will mentor quant researchers and traders, collaborate with FPGA/C++ teams, and tighten risk controls while expanding into new venues and instruments across global digital asset venues.