Associate, Liquid Credit Quantitative Risk & Research

Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.

Job Description

Ares is currently seeking a talented and motivated individual to join our Quantitative Risk & Research team (QR2) in Los Angeles. QR2 develops portfolio management tools that support Global Liquid Credit. This role will be responsible for supporting senior team members and providing reporting on various risk and research initiatives. The ideal candidate will have strong analytical skills and be able to work collaboratively with team members to deliver high-quality work. The candidate will work directly with the portfolio managers and front office teams.

Key responsibilities:

• Develop a strong understanding of our risk vendor’s pricing methodologies and stress testing capabilities
• Assist in maintaining and updating our data infrastructure
• Support senior team members in the development and implementation of risk and research projects
• Assist in the collection and analysis of data for use in risk and research projects
• Prepare risk reports, ESG reports, and presentations for stakeholders
• Stay up to date with the high yield and leveraged loan markets

Qualifications:

• Bachelor's or Master's degree in a related field (e.g., finance, economics, statistics)
• 0-3 years of experience or strong equivalent in university/intern/individual project work
• Fundamental understanding of fixed income pricing models and analytics
• Demonstrated understanding of prompt engineering and context engineering, with the ability to design, test, and refine AI interactions for accurate, reliable, and task-appropriate outputs
• Strong analytical skills and attention to detail
• Experience with data analysis and visualization tools (e.g., Excel, Python, Streamlit)
• Ability to work independently and as part of a team
• Strong communication and presentation skills
• Knowledge of Databricks, Azure, data pipelines, AI/ML is a plus

Reporting Relationships

Principal, US Liquid Credit, Quantitative Risk & Research

Compensation

$130,000.00 - $150,000.00

There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.