Execution Quant Researcher - Credit

Selby Jennings; New York (NY); On-site; USD 250,000 - 400,000; Full time

Job summary

Selby Jennings is seeking a VP-level Execution Quant Researcher focused on credit to lead research on liquidity, market impact, and transaction cost analysis. You will partner with credit traders and portfolio managers to translate findings into actionable trading improvements.

The role combines quantitative modeling, data analysis of TRACE and market data, and deployment of production-ready analytics to enhance execution outcomes across fixed income portfolios.

Qualifications

• Experience in quantitative research, trading, portfolio management, or market structure analysis within credit or fixed income markets.
• Strong understanding of credit market structure, including RFQ trading, portfolio trading, dealer behavior, ETF-driven liquidity, and transaction cost analysis.
• Experience working with fixed income datasets such as TRACE, quote data, evaluated pricing, and dealer inventory information.
• Strong statistical and analytical skills with the ability to solve complex, ambiguous problems.
• Knowledge of machine learning and AI applications within execution research.
• Excellent communication skills and ability to influence traders, portfolio managers, and senior stakeholders.

Responsibilities

• Lead the credit execution research agenda, focusing on liquidity, market impact, counterparty selection, portfolio trading, execution protocols, and TCA.
• Develop quantitative models using trade, quote, and market data to improve execution performance.
• Serve as the primary research partner to credit traders and portfolio managers, translating business challenges into actionable research.
• Enhance execution analytics platforms through new models, datasets, and performance metrics.
• Monitor developments across credit market structure, electronic trading, and liquidity trends.
• Collaborate with researchers, developers, and trading teams to deploy research into production and drive adoption.

Skills

Quantitative research

Trading

Market structure analysis

TCA

Statistical analysis

Communication

Tools

Python

kdb+/q

Databricks

Job description

Execution Quant Researcher - Credit

Location: New York, NY

Overview

A leading investment firm is seeking a VP-level Quantitative Research Analyst to lead credit execution research and partner closely with traders and portfolio managers to improve execution outcomes across fixed income portfolios. This role combines quantitative research, market microstructure analysis, liquidity modeling, and transaction cost analysis to drive more efficient trading and decision-making.

Responsibilities

• Lead the credit execution research agenda, focusing on liquidity, market impact, counterparty selection, portfolio trading, execution protocols, and TCA.
• Develop quantitative models using trade, quote, and market data to improve execution performance.
• Serve as the primary research partner to credit traders and portfolio managers, translating business challenges into actionable research.
• Enhance execution analytics platforms through new models, datasets, and performance metrics.
• Monitor developments across credit market structure, electronic trading, and liquidity trends.
• Collaborate with researchers, developers, and trading teams to deploy research into production and drive adoption.

Requirements

• Experience in quantitative research, trading, portfolio management, or market structure analysis within credit or fixed income markets.
• Strong understanding of credit market structure, including RFQ trading, portfolio trading, dealer behavior, ETF-driven liquidity, and transaction cost analysis.
• Experience working with fixed income datasets such as TRACE, quote data, evaluated pricing, and dealer inventory information.
• Strong statistical and analytical skills with the ability to solve complex, ambiguous problems.
• Knowledge of machine learning and AI applications within execution research.
• Excellent communication skills and ability to influence traders, portfolio managers, and senior stakeholders.

Preferred

• Experience with rates or FX markets.
• Familiarity with Python, kdb+/q, Databricks, or similar data platforms.
• Experience working with dealers, trading venues, and market data vendors.

Ideal Background: A credit market structure expert, execution researcher, quantitative analyst, trader, or portfolio manager with a track record of using data-driven research to improve trading outcomes and execution efficiency.