The Quantitative Analyst will work in collaboration with analysts, traders and portfolio managers in a fast-paced environment. They will be a significant contributor to internal risk systems and portfolio monitoring tools by supporting the investment teams. The Quantitative Analyst will present analysis to the investment team in a clear and concise manner. The ideal candidate should have a strong passion for quantitative research and insight generation.
Job Functions
- 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
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Advanced degree in quantitative discipline preferred and 1+ years experience in the asset management industry
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Excellent analytical skills and empirical research experience
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Strong Python and R programming skills; We also value candidates with strong programming fundamentals over familiarity with any specific language.
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Experience using generative AI or AI-assisted tools for coding, research, data analysis, or other work in professional or academic settings is preferred.
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Experience working with large datasets/databases
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Solid understanding of risk management, [sensitivities (greeks), VaR, and stress-testing/scenario analysis]
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Strong research skills, including ability to problem solve creatively
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Ability to prioritize time and tasks effectively and meet deadlines
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Ability to present analysis clearly and effectively
Base Salary Range
The estimated base salary range for this position is $100,000 – $115,000. In addition to base salary, this position is eligible for an annual discretionary bonus, plus a comprehensive benefits package.
Skills Required
- Advanced degree in a quantitative discipline
- At least 1 year of experience in the asset management industry
- Excellent analytical skills and empirical research experience
- Strong Python and R programming skills
- Experience using generative AI or AI-assisted tools for coding, research, data analysis, or other professional or academic work
- Experience working with large datasets or databases
- Understanding of risk management, sensitivities including Greeks, VaR, and stress-testing or scenario analysis
- Strong research and creative problem-solving skills
- Ability to prioritize tasks, manage time effectively, and meet deadlines
- Ability to present analysis clearly and effectively
What We Do
DoubleLine is an independent, employee-owned money management firm committed to helping investors achieve their goals. It offers a wide array of investment strategies and vehicles.
