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Two Sigma

Quantitative finance firm building predictive models

Credit Analyst - Convertible Arbitrage

Prop & Hedge Fund TradingConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Five to ten years of experience in fundamental credit analysis on the buy side (credit, distressed, or convertible funds) or sell side (leveraged finance, high-yield, or convertible research).
  • A deep understanding of corporate capital structures, credit documentation, and recovery analysis.
  • Familiarity with convertible bonds, or with how equity and credit interact across the capital structure.
  • Proficiency using artificial intelligence and agentic workflows for research and analysis, such as large language model tools to process filings, transcripts, and credit documents.
  • Comfort working with and analyzing data programmatically; Python or similar experience is a plus.
  • Ability to present concise, well-reasoned recommendations to portfolio managers.

Responsibilities

  • Conduct fundamental credit analysis on convertible issuers, including capital structure, liquidity, covenants, recovery, and refinancing risk.
  • Assess credit risk on positions under stress and work with portfolio managers on sizing, hedging, and exit decisions.
  • Provide analytical support for primary market opportunities, including new issuance, buybacks, and other capital markets transactions.
  • Develop issuer-level views that support engagement with issuers and counterparties.
  • Monitor credit exposures across the portfolio and proactively flag emerging risks.
  • Help build data-driven tools and processes, including large language model-based and agentic workflows, to make credit analysis faster and more scalable.

Desired Qualifications

  • Hands-on convertible experience is a strong plus.

About the Company

Two Sigma

Quantitative finance firm building predictive models

Two Sigma is a financial sciences firm that uses data analysis, rigorous inquiry, and invention to tackle complex problems in investment management, securities, private equity, insurance technology, and venture capital. Its product approach centers on building sophisticated predictive models powered by extraordinary computing power and vast data. Modelers and engineers test ideas with information and iterative improvement to drive progress. Compared with many peers, Two Sigma differentiates itself through a data-driven, model-centric investment process that relies on large-scale computing and extensive datasets rather than relying on traditional methods alone. The company aims to solve the toughest challenges in its fields and advance investment outcomes by continuously refining predictive models through experimentation.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$378.2M
Headquarters
New York City, New York
Founded
2001

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