Execution Quant Researcher - Credit
- 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.
- 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.
- 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.
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