Junior Quantitative Analyst: Data-Driven Risk & Research

DoubleLine Group LP; Los Angeles (CA); On-site; USD 100,000 - 115,000; Full time

Job summary

DoubleLine Group LP in Los Angeles, CA is seeking an Entry-Level Quantitative Analyst to collaborate with analysts, traders and portfolio managers in a fast-paced environment.

You will develop analytical solutions, support risk systems and portfolio monitoring, and present findings to the investment team. Candidates should have a graduate degree and strong Python/R skills with an interest in AI-assisted tools.

Qualifications

• Advanced degree in quantitative discipline is preferred with 1+ years in asset management.
• Strong analytical and empirical research capabilities are expected.
• Proficiency in Python and R; emphasis on fundamentals over language specifics.
• Experience using generative AI or AI-assisted tools for coding, research or data analysis is preferred.
• Experience handling large datasets/databases.
• Solid understanding of risk management concepts including greeks, VaR and stress testing.
• Strong research skills with creative problem-solving.
• Ability to prioritize tasks and meet deadlines.
• Ability to present analyses clearly and effectively.

Responsibilities

• Develop and maintain analytical solutions to scrutinize large data sets.
• Manage and improve tools for portfolio and risk management, counterparty exposures and market analysis.
• Conduct surveillance of investment positions and track evolving risk factors.
• Support portfolio managers by carrying out top-down and bottom-up research across multiple investment markets.

Skills

Analytical skills

Empirical research

Python

R

AI tools

Large datasets

Risk management

Problem solving

Time management

Presentation

Education

Advanced degree in quantitative discipline

Job description

DoubleLine Group LP in Los Angeles, CA is seeking an Entry-Level Quantitative Analyst to collaborate with analysts, traders and portfolio managers in a fast-paced environment.

You will develop analytical solutions, support risk systems and portfolio monitoring, and present findings to the investment team. Candidates should have a graduate degree and strong Python/R skills with an interest in AI-assisted tools.