Systematic Credit Trader: Data-Driven Market Making

J K Barnes; Illinois; On-site; USD 120,000 - 180,000; Full time

Job summary

A leading proprietary trading firm is seeking a candidate experienced in developing systematic high-yield and investment-grade trading strategies. The successful candidate will work at the intersection of trading, research, and engineering, enhancing market-making processes. Responsibilities include building frameworks for signal generation, collaborating with engineering teams, and performing transaction cost analyses. Required qualifications include 3–8 years in credit trading and proficiency in Python programming, with a focus on automation and risk analytics. This is an exciting opportunity in the fast-paced credit markets.

Qualifications

• 3–8+ years of experience in systematic or hybrid credit trading.
• Proven ability to improve RFQ and market-making automation.
• Deep understanding of credit market microstructure.
• Strong programming proficiency in Python with familiarity of C++.
• Hands-on experience in signal research and execution modeling.

Responsibilities

• Develop and trade systematic high-yield strategies in credit instruments.
• Design pricing, quoting, and inventory models to automate RFQ answering.
• Build frameworks for signal generation and model monitoring.
• Collaborate with teams to develop low-latency RFQ systems.
• Perform transaction cost analyses to optimize performance.

Skills

Systematic high-yield and IG trading strategies

Signal research and execution modeling

Collaboration with engineering teams

Programming in Python

Job description

A leading proprietary trading firm is seeking a candidate experienced in developing systematic high-yield and investment-grade trading strategies. The successful candidate will work at the intersection of trading, research, and engineering, enhancing market-making processes. Responsibilities include building frameworks for signal generation, collaborating with engineering teams, and performing transaction cost analyses. Required qualifications include 3–8 years in credit trading and proficiency in Python programming, with a focus on automation and risk analytics. This is an exciting opportunity in the fast-paced credit markets.