Senior Quantitative Credit Strategist

Vanguard•Malvern, PA

2d•Hybrid

About The Position

This is a senior role within the Fixed Income Quantitative Research Group. The Senior Corporate Credit Quantitative Strategist will help set the research agenda in partnership with the Global Head of Quantitative Research and other senior investors. The successful candidate will partner with portfolio managers, credit analysts, and risk teams to design, implement, and scale quantitative models supporting corporate bond investment strategies. The role focuses on credit alpha generation, relative value, and portfolio construction across global investment‑grade and high‑yield markets. A key success factor is the ability to translate quantitative research into investment ideas used in live portfolios, enhancing security selection, sizing, and risk management.

Requirements

Advanced degree (Master’s or PhD) in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Quantitative Finance).
15+ years of experience in quantitative research or strategy with a primary focus on corporate credit.
Experience supporting systematic or quantitatively‑enabled credit strategies.
Deep understanding of corporate debt markets, including spread dynamics, capital structure, ratings migration, and default cycles.
Expertise with synthetic credit, capital structure RV, and leveraged loans.
Proven ability to generate investment ideas independently and partner with PMs is a strong indicator of success in this role.
Strong programming skills in Python (required); SQL and/or R preferred.
Experience working with large fixed-income datasets (TRACE, BQUANT, issuer fundamentals, pricing, liquidity metrics).
Proven ability to deliver actionable research used by PMs.

Nice To Haves

Exposure to credit risk models, issuer‑level forecasting, and stress testing.
Prior experience embedding models into portfolio construction or risk platforms.
Prior experience with structured credit and global credit markets
CFA or progress toward CFA.

Responsibilities

Develop quantitative models for credit investing that directly inform alpha generation, issuer/sector selection, relative value decisions, and position sizing across global IG and HY portfolios.
Create and maintain quantitative signals like valuation, spread, quality, momentum, liquidity, downside risk with a demonstrated link to excess return across market regimes.
Partner closely with corporate credit portfolio managers and analysts to ensure quantitative insights drive live portfolio decisions, not standalone research.
Partner with quantitative research analysts on all stages of the model development life cycle.
Take ownership of backtesting, performance attribution, and factor analysis, clearly articulating what drove returns, what detracted, and how strategies performed in stress environments.
Analyze issuer‑, sector‑, and capital‑structure‑level relationships to identify actionable relative‑value opportunities in corporate bonds.
Translate research into scalable, production‑ready analytics embedded in portfolio construction and risk workflows.
Communicate quantitative insights succinctly to PMs and senior investment leadership, focusing on decision‑relevant outcomes.
Mentor junior quants and uphold research standards, model governance, and documentation.