Credit Strategist
About The Position
Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading. The Hybrid Credit Quant Analyst will work directly with the Portfolio Manager to support capital deployment across corporate credit. The role spans bottom-up credit underwriting and systematic signal development, contributing both to individual position sizing and to portfolio-level factor and risk insights. Over time, the candidate will evolve into a differentiated investor capable of analyzing credits in depth while also thinking systematically about portfolio construction, risk, and alpha generation within a multi-manager framework.
Requirements
- Experience in corporate credit analysis, rates, FX or equity derivatives, leveraged finance, restructuring, equity research, or investment banking.
- Ability to write functional, analytical Python code for data analysis and signal development.
- Intellectual curiosity and desire to operate at the intersection of discretionary and systematic investing.
- Comfort working in a lean, high-accountability pod structure.
- Familiarity with portfolio construction concepts and factor-based investing.
- Strong communication skills and ability to debate ideas constructively with a PM.
Responsibilities
- Conduct rigorous analysis of corporate capital structures (bonds, loans, hybrids, equity where relevant).
- Assess leverage, liquidity, refinancing risk, covenant structures, and downside scenarios.
- Support idea generation, trade structuring, and ongoing position monitoring.
- Assist in the development of quantitative signals and screeners
- Translate fundamental insights into actionable investment recommendations.
- Develop and refine credit signals using Python (valuation spreads, factor exposures, liquidity metrics, event-based signals, etc.).
- Build screening and ranking tools across sectors and issuers.
- Analyze cross-sectional relationships and identify mispricings at scale.
- Contribute to repeatable frameworks that enhance idea throughput and signal robustness.
- Support portfolio-level risk monitoring, factor exposures, and drawdown analysis.
- Build tools that are robust, reproducible, and aligned with the pod’s production environment.
- Partner with developers or central infrastructure teams to ensure research transitions efficiently into live decision-making workflows.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
