Quant Execution Trader – FICC, Bulge Bracket

Morgan McKinley; Hong Kong; On-site; HKD 700,000 - 1,000,000; Full time

Job summary

Morgan McKinley is seeking a Quant Execution Trader for its FICC trading desk. The role focuses on designing, deploying, and managing quantitative execution algorithms, automated pricing frameworks, and liquidity-seeking models across FICC products.

Key responsibilities include algorithmic execution, QTA/TCA, and collaboration with researchers and tech teams to implement systematic trading logic with real-time risk controls.

Qualifications

• Advanced degree in quantitative fields (e.g., Quantitative Finance, Mathematics, CS, Physics, or Engineering).
• 2+ years in quantitative execution, systematic market making, or algorithmic trading within FICC.
• Proficiency in Python and C++ for model building and data manipulation.
• Experience with SQL and trading tool development.
• Strong understanding of FICC market microstructure and electronic trading protocols.

Responsibilities

• Algorithmic Execution & Order Routing: optimize real-time execution algorithms (TWAP, VWAP, IS) and smart order routing across electronic FICC venues.
• Quantitative Analysis & TCA: conduct microstructure studies and high-frequency data analysis to minimize market impact.
• Strategy & Model Development: collaborate to design, backtest, and implement systematic trading logic and risk controls.
• Desk Flow & Risk Management: monitor live order execution, manage intraday inventory and exposure.
• Automation & Infrastructure: build Python-based analytics tools, dashboards, and data pipelines to automate workflows.

Skills

Python

C++

SQL

Education

Advanced degree in quantitative fields

Job description

A leading global bulge bracket investment bank is seeking a Quant Execution Trader to join its Fixed Income, Currencies, and Commodities (FICC) trading desk. This role focuses on designing, deploying, and managing quantitative execution algorithms, automated pricing frameworks, and liquidity-seeking models across FICC products.

Key Responsibilities

• Algorithmic Execution & Order Routing: Manage and optimize real-time quantitative execution algorithms (e.g., TWAP, VWAP, Implementation Shortfall) and smart order routing strategies across electronic FICC trading venues.
• Quantitative Analysis & TCA: Conduct market microstructure studies, high-frequency data analysis, and Transaction Cost Analysis (TCA) to minimize market impact and optimize trade execution performance.
• Strategy & Model Development: Collaborate with Quantitative Researchers and Tech teams to design, backtest, and implement systematic trading logic, automated pricing, and real-time risk controls.
• Desk Flow & Risk Management: Monitor live algorithmic order execution, manage intraday inventory and exposure, and ensure smooth operational execution during high-volatility market events.
• Automation & Infrastructure: Build Python-based analytics tools, interactive trading dashboards, and data pipelines to continuously automate front-office workflows.

Qualifications & Requirements

• Education: Advanced degree (Master's or Ph.D. preferred; Bachelor's required) in Quantitative Finance, Mathematics, Computer Science, Physics, or Engineering.
• Experience: 2+ years of quantitative execution, systematic market making, or algorithmic trading experience within FICC (Rates, FX, Credit, or Commodities).
• Programming Skills: Advanced proficiency in Python and C++ for model building, data manipulation (SQL), and trading tool development.
• Market Knowledge: Deep understanding of FICC market microstructure, electronic trading protocols, order book dynamics, and algorithm behavior.
• Core Competencies: Strong quantitative problem-solving skills, ability to perform under high-pressure front-office conditions, and clear communication skills to collaborate with global trading desks.