CLO Portfolio Analyst - Leveraged Loans & Risk Modeling

Financeroles; Town of Carmel (NY); Presencial; USD 81.000 - 122.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Performance-based bonus program

401(k) with company match

Disability insurance

Paid time off and holidays

Parental leave

Life insurance

Descripción de la vacante

CNO Financial Group is seeking a CLO Portfolio Analyst to ensure accurate monthly/quarterly investor reports, monitor indenture compliance, and develop risk models for leveraged loan portfolios. The role collaborates with senior leaders on optimization strategies and daily cash management, offering exposure to structured credit and investment processes.

Ideal candidates have a finance/economics background, 0–1 years of experience, and strong Excel, VBA, and Python skills, with a willingness to

Formación

• Bachelor’s degree in Finance, Economics, Computer Science, or analytical Liberal Arts major.
• 0–1 years of experience, including internships; recent grads welcome.
• Proficiency in Excel, VBA and Python is required.
• Strong written and oral communication skills.

Responsabilidades

• Ensure monthly and quarterly reports are accurate and distributed to investors.
• Monitor compliance with indenture requirements and identify tests at risk.
• Develop and maintain risk and analytical models for market dislocations and opportunities.
• Collaborate with AVP/VP on portfolio optimization strategies.
• Coordinate with traders and trustees to determine daily investable cash.

Conocimientos

Excel

VBA

Python

Educación

Bachelor’s degree (Finance, Economics, CS, or analytical Liberal Arts)

Descripción del empleo

CNO Financial Group is seeking a CLO Portfolio Analyst to ensure accurate monthly/quarterly investor reports, monitor indenture compliance, and develop risk models for leveraged loan portfolios. The role collaborates with senior leaders on optimization strategies and daily cash management, offering exposure to structured credit and investment processes.

Ideal candidates have a finance/economics background, 0–1 years of experience, and strong Excel, VBA, and Python skills, with a willingness to