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Debt Portfolio Analyst
Debt Portfolio Analyst1872 Consulting • Los Angeles, CA
Debt Portfolio Analyst

Debt Portfolio Analyst

1872 Consulting • Los Angeles, CA
[job_card.30_days_ago]
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  • [job_card.full_time]
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Debt Portfolio Analyst

Openings :

Associate-Level and Analyst-Level

Location : Century City, CA (onsite)

Compensation : $K-$K + % annual bonus

Company Summary

We are a real estate investment management firm specializing in debt and equity strategies across diverse portfolios. Our approach integrates data-driven decision-making, collaborative team structures, and continuous improvement through AI and technology. With a focus on long-term value creation, we maintain a culture that rewards innovation, integrity, and excellence.

Position Summary

We are hiring for two roles on the Debt Portfolio Management team – one junior-level (Analyst) and one mid-level (Associate). These individuals will work closely with cross-functional groups to analyze, manage, and present portfolio and fund performance data. This is an opportunity to join a fast-paced team making high-level investment and operational decisions backed by strong data analytics.

Key Responsibilities :

  • Analyze financial, operating, and valuation data for debt investments and funds.
  • Maintain and update spreadsheets, databases, and systems for real-time reporting.
  • Build and manage Excel models and portfolio dashboards.
  • Support capital needs, cash flow tracking, and diversification analysis.
  • Partner with IR and asset management to deliver insights to investors.
  • Create valuation models and sensitivity analyses.
  • Review internal and third-party appraisals.
  • Assist in ESG-related data tracking and reporting.
  • Continuously adapt to new technologies and process changes.

Qualifications :

  • Bachelor's in Finance, Economics, Math, or Business.
  • Analyst : strong internships or – years' experience.
  • Associate : + years' experience (internships may count).
  • Advanced Excel proficiency; ability to build complex models.
  • Experience with SQL and ARGUS strongly preferred.
  • Exposure to real estate finance a plus, but not required.
  • Strong written and verbal communication skills.
  • Demonstrated interest in business intelligence, systems, and process improvement.
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