Mission Staffing
Quantitative CLO Tranche Trader – Mission Staffing
Overview
We are seeking a highly motivated professional with 2–5 years of relevant experience to join a structured credit trading team. The role focuses on pricing, trading, and risk-managing cash CLO tranches across the capital structure with an emphasis on data-driven analysis and model-based decision-making. Responsibilities
Price, trade, and risk-manage cash CLO tranches across the capital structure. Utilize data-driven analysis and quantitative models to support trading decisions. Develop and apply cash flow modeling and structured credit analytics to inform strategy. Collaborate with Sales, Research, and Risk teams to communicate insights and trading rationale. Support quantitative research and strategy development using programming languages (preferably Python or equivalent). Qualifications
2–5 years of relevant experience in structured credit or a related field. Strong proficiency in structured credit analytics and cash flow modeling. Advanced Python or similar programming language skills for quantitative research. Baseline understanding of structured credit; CLOs preferred but not required. Experience with Intex is strongly preferred. Employment Type
Full-time Seniority
Associate Note: This posting may include additional job listings and notices that are not part of the current role description. The essential content above reflects the responsibilities and qualifications for the Quantitative CLO Tranche Trader position.
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We are seeking a highly motivated professional with 2–5 years of relevant experience to join a structured credit trading team. The role focuses on pricing, trading, and risk-managing cash CLO tranches across the capital structure with an emphasis on data-driven analysis and model-based decision-making. Responsibilities
Price, trade, and risk-manage cash CLO tranches across the capital structure. Utilize data-driven analysis and quantitative models to support trading decisions. Develop and apply cash flow modeling and structured credit analytics to inform strategy. Collaborate with Sales, Research, and Risk teams to communicate insights and trading rationale. Support quantitative research and strategy development using programming languages (preferably Python or equivalent). Qualifications
2–5 years of relevant experience in structured credit or a related field. Strong proficiency in structured credit analytics and cash flow modeling. Advanced Python or similar programming language skills for quantitative research. Baseline understanding of structured credit; CLOs preferred but not required. Experience with Intex is strongly preferred. Employment Type
Full-time Seniority
Associate Note: This posting may include additional job listings and notices that are not part of the current role description. The essential content above reflects the responsibilities and qualifications for the Quantitative CLO Tranche Trader position.
#J-18808-Ljbffr