Systematic Rates Portfolio Manager

Role Overview

The successful candidate will be responsible for developing, implementing, and managing systematic trading strategies focused on rates markets. The role requires a strong background in quantitative research, signal generation, portfolio construction, and execution optimization within global fixed-income markets. The PM will leverage the firm's proprietary infrastructure, extensive data resources, and execution capabilities to enhance portfolio performance.

Key Responsibilities

• Develop and manage systematic trading strategies in rates markets, including sovereign bonds, interest rate futures, and swaps.
• Conduct quantitative research to generate alpha signals and improve trading models.
• Utilize machine learning, statistical models, and econometric techniques to enhance predictive capabilities.
• Optimize portfolio construction and risk management to maximize risk-adjusted returns.
• Collaborate with researchers, quants, and technologists to integrate new models and strategies into the trading framework.
• Engage with execution and infrastructure teams to enhance execution efficiency and reduce market impact.
• Continuously monitor and refine strategies to adapt to evolving market conditions.

Key Qualifications & Experience

• 5+ years of experience in a systematic trading role within a hedge fund or prop trading firm.
• Proven track record of managing a profitable systematic rates trading strategy, with at least $10m in annual pnl.
• Strong expertise in fixed-income instruments, including government bonds, interest rate derivatives, and swaps.
• Deep understanding of quantitative finance, econometrics, and statistical modeling.
• Proficiency in programming languages such as Python, C++, or Java for strategy development and implementation.
• Experience working with large financial datasets, time-series analysis, and signal generation.
• Familiarity with high-performance computing environments and distributed computing frameworks.
• Strong communication skills and ability to collaborate with a multi-disciplinary team of quants, traders, and engineers.

Preferred Qualifications

• Experience with market microstructure research and execution optimization.
• Knowledge of central bank policies and macroeconomic factors influencing rates markets.
• Familiarity with machine learning applications in systematic trading.
• PhD or Master’s degree in quantitative finance, mathematics, physics, computer science, or related fields.