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Investment Analyst - Structured Credit - PR/528011_1736458719

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Investment Analyst - Structured Credit

San Francisco
Permanent
USD120000 - USD160000
Investment Management
PR/528011_1736458719
Investment Analyst - Structured Credit
A leading global investment firm, renowned for delivering innovative asset management and financial solutions, specializing in alternative investments, capital markets, and insurance. The firm is dedicated to generating compelling returns by applying a patient, disciplined approach, supported by a talented team. Its investment funds span private equity, credit, real assets, and partnerships managing hedge funds, alongside insurance offerings including retirement, life, and reinsurance products.

Team Overview
The credit division manages billions in assets. The Structured Credit team focuses on delivering innovative credit solutions across diverse portfolios.

Position Summary
The firm is looking for an Analyst/Associate to join the Structured Credit Portfolio Management team, located in San Francisco. Candidates with 1-4 years of relevant experience will be well-suited to support the team in the following areas:

Responsibilities:

  • Contributing to trade decisions and portfolio optimization strategies through detailed analysis and presentation.
  • Managing structured credit portfolios and enhancing analytical tools for portfolio management.
  • Collaborating across trading, legal, and operational teams to ensure adherence to investment guidelines.
  • Conducting thematic research within structured credit and ABS markets.
  • Overseeing pre-trade compliance and trade allocation within portfolio frameworks.
  • Assisting in the assessment and monitoring of credit risk across various portfolios.
  • Staying informed on market trends and company-specific news in collaboration with the research team.
  • Addressing investor queries and supporting portfolio managers with ad hoc requests.

Requirements:

 

  • 1-4 years of experience in CLO/structured credit trading, structuring or investing
  • A working knowledge of leveraged loans, familiarity with ABS is ideal
  • Proficiency in financial modeling, statistical analysis tools & programming languages (Python or R)

 

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