Associate, Private IG

Apollo Global Management, Inc.; El Segundo (CA); On-site; USD 175,000 - 200,000; Full time

Job summary

Apollo Global Management, Inc. is seeking a Quantitative Research Associate in El Segundo, California. This role involves support for portfolio management, developing quantitative tools, and applying modeling techniques for investment strategies. Candidates should have 3+ years in financial markets, a degree in a quantitative field, and proficiency in Python. The position offers a salary range of $175,000 to $200,000, with the possibility for bonuses based on performance and experience.

Qualifications

• 3+ years of relevant work experience in financial markets.
• Strong knowledge of portfolio construction and risk management.
• Robust understanding of modeling techniques for fixed income.

Responsibilities

• Apply quantitative approaches for modeling security valuations.
• Support portfolio management and risk analysis for investment portfolios.
• Work closely with global colleagues across key locations.

Skills

Quantitative analysis

Portfolio risk management

Python for data analysis

Collaboration in coding environment

Attention to detail

Written and verbal communication

Education

University degree in a quantitative field

Job description

Quantitative Research Associate

Position Overview: The Quantitative Research Associate will play a critical role in supporting portfolio managers across Apollo’s global investment grade credit business with a broad range of quantitative aspects 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.

Primary 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 platform (Los Angeles, New York, London).

Qualifications & Experience

• 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 modeling techniques for fixed income, credit, and derivative pricing.
• Proficiency in Python for data analysis and predictive modelling. Experience working in a collaborative coding environment (version control, code review, unit testing, code standards) is a plus.
• Excellent attention to detail; strong written and verbal communication skills.
• Excels in a rigorous and fast‑paced team‑oriented work environment.

Benefits

Apollo’s benefit programs are crafted to offer meaningful coverage for both employees and their families. For more detailed information on specific benefits, please reach out to the Human Capital Business Partner.

Pay Range

$175,000 – $200,000

Compliance Disclosure

Apollo Global Management, Inc. (together with its subsidiaries and affiliates) is committed to championing opportunity. The firm and its affiliates comply with applicable discrimination and equal opportunities legislation in all of its jurisdictions and do not discriminate in employment or recruitment based on race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or any other protected characteristic under applicable law.

Note: The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed here.