Location : New York, NY, Bala Cynwyd, PA
Role Overview :
We are seeking an accomplished Senior Credit Researcher to join our investment team and drive high-conviction, alpha-generating ideas in corporate credit markets. This role requires a hybrid skill set : deep fundamental credit expertise coupled with advanced quantitative and analytical capabilities. The successful candidate will combine rigorous company-level research with data-driven insights to uncover opportunities across the credit spectrum.
Key Responsibilities :
Alpha Generation
- Conduct fundamental research across corporates and sectors, identifying relative value and mispricings.
- Develop investment theses supported by both traditional analysis and quantitative validation.
- Generate actionable recommendations across bonds, tranches, CDX.
Research & Analysis
Build detailed financial and valuation models, including scenario-based stress testing and capital structure simulations.Apply quantitative techniques (e.g., factor modelling, regression analysis, statistical testing) to enhance investment conviction.Leverage large datasets — including alternative and market microstructure data — to uncover signals and trends.Integrate macroeconomic and micro credit drivers, sector dynamics into both qualitative and quantitative research frameworks.Collaboration & Leadership
Partner with PM, traders, and risk management to align research with portfolio construction and risk-adjusted return goals.Collaborate with quantitative researchers and data engineers to refine analytical toolkits.Represent credit research perspectives in firmwide investment discussions.Qualifications :
7–12+ years of experience in fundamental credit research with exposure to quantitative methods; hedge fund or credit-focused buy-side experience preferred.Proven track record of generating profitable investment ideas.Strong foundation in corporate finance, credit valuation, and capital structure analysis.Proficiency in Python, R, or MATLAB for modelling, statistical analysis, and data manipulation.Familiarity with databases, APIs, and data science workflows (SQL, Pandas, NumPy, etc.).Excellent communication skills with the ability to present complex analysis clearly and persuasively.Commercial mindset and disciplined risk awareness.Preferred Experience :
Coverage in high-yield, distressed, or special situations credit.Familiarity with quantitative factor models, machine learning applications, or statistical arbitrage concepts applied to credit.Experience with large / alternative datasets (credit card, supply chain, satellite, etc.) and integration into research processes.Advanced degree in a quantitative or financial discipline (CFA, MBA, MSc, PhD) desirable but not essential.What We Offer
Competitive compensation structure with performance-based upside.The opportunity to drive research impact at the heart of a high-conviction, performance-driven hedge fund.Access to cutting-edge data, tools, and infrastructure to support research innovation.A collaborative environment that prizes intellectual rigour and creativity.