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Quantitative Research Analyst

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: Redwood Investment Management, LLC
Full Time position
Listed on 2026-10-07
Job specializations:
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 190000 USD Yearly USD 110000.00 190000.00 YEAR
Job Description & How to Apply Below

Redwood is seeking a Quantitative Research Analyst to join the investment research team. This candidate should ideally already have a CFA or is in the process of receiving a CFA designation. Redwood Investment Management is a quantitative research focused investment firm managing over $2 billion. Redwood is the advisor to the Redwood Mutual Funds, and Leader Shares ETFs. Redwood is a pioneer of the Risk First philosophy and process to drive better outcomes for financial advisors and their clients.

Our offices are in Scottsdale, AZ. & Los Angeles, CA. This role is not remote and is in our Scottsdale, AZ office.

Job Responsibilities:
  • Support Redwood’s portfolio managers and investment team
  • Conduct research & statistical analyses on securities and portfolios
  • Work and manage large data sets, including unconventional data sources
  • Contribute to design and build out of model architecture to quickly test recurring and new investment ideas
  • Help create statistical models for market application
  • Conceptualize, develop, and improve mathematical models, translating algorithms into code
  • Back test for implementing trading models in a real-time environment
  • Produce insightful market research content for internal use and for clients
Job Requirements:
  • Advanced training and understanding in mathematics, statistics, physics, computer science, or another quantitative field
  • Strong proficiency in probability & statistics
  • CFA Strongly Preferred
  • Industry experience with Python, Java/C, analytical packages (R, Matlab)
  • Ability to communicate advanced concepts in a concise and logical way
  • Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems
  • Ability to work in the U.S. without sponsorship
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