Quantitative Research Associate

Apollo Management HoldingsEl Segundo, CA
2d$175,000 - $200,000

About The Position

Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade credit to private equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. As of September 30th, 2025, Apollo had approximately $840 billion of assets under management. To learn more, please visit www.apollo.com. Position Overview: The Quantitative Research Associate will play a critical role in supporting portfolio managers across Apollo’s global investment-grade credit business by providing a broad range of quantitative support to deliver outstanding portfolio performance. The role entails developing and maintaining sophisticated quantitative tools to support the effective management of bond portfolios, working closely with portfolio managers, traders, analysts, middle-office, and operations functions.

Requirements

  • 3+ years of relevant work experience in a buy-side or sell-side financial markets role; risk-taking or quant research experience preferred
  • University degree in a quantitative field with an exceptional record of academic achievement
  • Strong knowledge of portfolio construction, risk management, and performance attribution techniques
  • Robust understanding of modelling techniques for fixed income, credit, and derivative pricing
  • Proficiency in Python for data analysis and predictive modelling. Experience working in a collaborative coding environment is a plus (version control, code review, unit testing, code standards)
  • Excellent attention to detail; strong written and verbal communication skills
  • Excels in a rigorous and fast-paced team-oriented work environment

Responsibilities

  • Apply quantitative approaches, tools, and techniques for modelling security valuations and portfolio risk
  • Support portfolio construction, quantitative analysis, and risk management across corporate credit investment portfolios and funds
  • Support portfolio managers with idea generation, portfolio risk management, performance reporting, and return attribution
  • Work closely with colleagues across a global (LA, New York, London) platform
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