Quantitative Research Analyst: Data-Driven Models & Markets

Redwood Investment Management, LLC; Scottsdale (AZ); On-site; USD 110,000 - 190,000; Full time

Job summary

Redwood Investment Management, LLC seeks a Quantitative Research Analyst to join its investment research team in Scottsdale, AZ. The role emphasizes quantitative methods, model development, and rigorous data analysis to support portfolio decisions.

Ideal candidates hold advanced mathematics/statistics training; CFA strongly preferred. Proficiency in Python, Java/C, R or Matlab, and the ability to work with large data sets are essential. US work authorization required.

Qualifications

• Advanced training in mathematics or related quantitative field.
• Strong proficiency in probability and statistics.
• CFA strongly preferred.
• Experience with Python, Java/C and analytical packages (R/Matlab).
• Ability to translate complex concepts into code and models.
• US work authorization without sponsorship.

Responsibilities

• Support Redwood’s portfolio managers and investment team.
• Conduct research and statistical analyses on securities and portfolios.
• Work and manage large data sets, including unconventional data sources.
• Design and build out model architecture to test ideas.
• Create statistical models for market application.
• Translate algorithms into code and refine them.
• Back test trading models in a real-time environment.
• Produce market research content for internal and client use.

Skills

Mathematics

Statistics

Physics

Computer Science

Python

Java/C

Algorithms

Education

CFA designation in progress

Tools

R

Matlab

Excel

Job description

Redwood Investment Management, LLC seeks a Quantitative Research Analyst to join its investment research team in Scottsdale, AZ. The role emphasizes quantitative methods, model development, and rigorous data analysis to support portfolio decisions.

Ideal candidates hold advanced mathematics/statistics training; CFA strongly preferred. Proficiency in Python, Java/C, R or Matlab, and the ability to work with large data sets are essential. US work authorization required.