Associate | Investment Risk Analytics

About the role

The associate will own the development and maintenance of Apollo's in-house analytical suite of libraries such as APO Analytics in partnership with Technology. They will be responsible for developing, maintaining, and enhancing Apollo's risk and stress models specifically for the credit investments undertaken by the firm. The role requires building robust tools to analyze investment risk, including valuation models for complex new investments such as exotic securities and variable annuities. They will also drive the development, maintenance, and enhancement of portfolio optimization models tailored for credit investments. Collaboration with technology teams is central to ensuring that the analytical frameworks are scalable and reliable. The associate will contribute to strengthening the conceptual and mathematical foundations of the firm's credit risk strategies. This position is critical in supporting the firm's investment decisions through rigorous quantitative analysis.

What you'll do

Analyze and enhance Apollo's in-house analytical suite of libraries such as APO Analytics in partnership with Technology.

Develop, maintain, and enhance Apollo's risk and stress models for the credit investments undertaken by the firm.

Maintain and enhance existing in-house risk systems in partnership with Technology.

Construct specialized tools to analyze investment risk, including valuation models for complex new investments such as exotic securities and variable annuities.

Develop, maintain, and enhance portfolio optimization models for credit investments.

Partner with technology teams to integrate new modeling techniques into existing risk frameworks.

Evaluate and validate the accuracy of risk models used in credit investment decision-making.

Design and implement solutions that improve the firm's understanding of credit market risks.

Support the ongoing refinement of analytical methodologies to align with evolving market conditions.

Collaborate with senior quants to ensure model outputs meet stringent quality and compliance standards.

Investigate and prototype novel quantitative approaches for assessing credit risk and portfolio performance.

Document modeling processes and assumptions to ensure transparency and reproducibility.

Contribute to research initiatives aimed at improving predictive capabilities for credit risk events.

Assist in the communication of complex model outputs to non-technical stakeholders within the firm.

Requirements

Undergraduate degree in a quantitative field is required.

Graduate degree (MS or PhD) in a quantitative discipline such as financial engineering, mathematics, engineering, hard sciences or economics is preferred.

Strong conceptual and mathematical knowledge of financial engineering, stochastic modeling, derivatives pricing, and risk analytics is required.

Deep knowledge of credit markets and rates derivatives is required.

2-3 years of work experience in quantitative modeling or risk analytics in a financial institution is preferred.

Strong programming skill in Python is required.

Prior experience in developing C++ or Java pricing libraries for securities/derivatives is preferred.

Self-starter who can learn quickly and develop creative models for a wide range of analytical problems.

Practical notes

Position Overview

Apollo is seeking an experienced modeling expert interested in joining the Investment Risk team focused on quantitative business modeling and analytics for the firm's Credit business. This individual will join a dynamic intellectually stimulating team working on the cutting edge of credit investments.

Qualifications & Experience

• Undergraduate degree in a quantitative field is required.
• Graduate degree (MS or PhD) in a quantitative discipline such as financial engineering, mathematics, engineering, hard sciences or economics is preferred.
• Strong conceptual and mathematical knowledge of financial engineering, stochastic modeling, derivatives pricing, and risk analytics is required.
• Deep knowledge of credit markets and rates derivatives is required.
• 2-3 years of work experience in quantitative modeling or risk analytics in a financial institution is preferred.
• Strong programming skill in Python is required.
• Prior experience in developing C++ or Java pricing libraries for securities/derivatives is preferred.
• Self-starter who can learn quickly and develop creative models for a wide range of analytical problems.

The role operates in a dynamic environment where intellectual rigor and precision are essential. The successful candidate will engage with challenging problems that require both independent thought and collaborative effort. The position demands a high level of analytical curiosity and the ability to manage multiple priorities in a fast-paced setting. Effective communication skills are necessary to translate complex quantitative results into actionable business insights. The associate will play a key role in supporting the firm's strategic objectives through data-driven decision-making. This position represents an opportunity to work at the forefront of credit risk analytics within a leading investment firm.