Quantitative Analyst

DoubleLine7 months ago
Los Angeles, CA, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Job Details

Level: Entry

Job Location: Los Angeles, CA - Los Angeles, CA

Education Level: Graduate Degree

Salary Range: Undisclosed

Description

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 the fund’s infrastructure, including 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

Qualifications

  • • Bachelor’s degree required
  • • Advanced degree in a quantitative discipline preferred
  • • Solid understanding of risk management, [sensitivities (greeks), VaR, and stress-testing/scenario analysis]
  • • Strong programming skills in Python, R, MatLab or VBA; knowledge about C++/C# is a plus
  • • Experience working with large datasets/databases
  • • Excellent analytical skills and empirical research experience
  • • Ability to prioritize time and tasks effectively and meet deadlines
  • • Ability to present analysis clearly and effectively

Base Salary Range

The estimated base salary range for this position is $90,000 – 110,000. In addition to base salary, this position is eligible for an annual discretionary bonus, plus a comprehensive benefits package.

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Required Skills

Programming in Python
Excel competencies with VBA
Data analysis with MatLab
Statistical analysis using R