Senior Quantitative Portfolio Architect - Private Credit

Bruin

New York (NY)

On-site

USD 250,000 - 350,000

Full time

5 days ago
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Job summary

Bruin seeks a senior portfolio construction lead to own private credit allocations and asset mix decisions across global portfolios. You will drive quantitative modeling, risk assessment, and scenario analysis in a high-visibility, senior-firm context.

Ideal candidates bring 8+ years in private credit or related investment work, strong Python skills, and CFA or quantitative advanced degrees. Direct lending and asset-based finance experience are highly valued.

Qualifications

  • 8+ years of experience in Private Credit or related investment roles.
  • Proven track record leading portfolio construction or quantitative investment workstreams.
  • Strong programming skills in Python and ability to model complex portfolios.
  • Solid understanding of corporate fundamentals and macro trends.
  • Experience with private assets (direct lending or asset-based finance) preferred.

Responsibilities

  • Lead portfolio construction recommendations for Private Credit funds across regions.
  • Own fund modeling to analyze drivers, risk, and sensitivities.
  • Drive portfolio monitoring using quantitative and qualitative methods.
  • Present analyses to Portfolio Managers and Investment Committees.
  • Develop and refine multi-asset allocation models and stress tests.
  • Collaborate with deal teams, client partners, and finance to ensure data integrity.
  • Automate models and integrate them with IT resources.
  • Serve as a senior quantitative resource across the firm.

Skills

Python
Portfolio construction
Quantitative analysis
Financial modeling
MS Office

Education

CFA
Advanced degree in quantitative discipline

Tools

Excel
PowerPoint
MSCI RiskMetrics
Barra
Bloomberg PORT
Factset

Job description

Bruin seeks a senior portfolio construction lead to own private credit allocations and asset mix decisions across global portfolios. You will drive quantitative modeling, risk assessment, and scenario analysis in a high-visibility, senior-firm context.

Ideal candidates bring 8+ years in private credit or related investment work, strong Python skills, and CFA or quantitative advanced degrees. Direct lending and asset-based finance experience are highly valued.

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