Researchers who analyze data gathered to make improvements to existing business models or to create and develop innovative business strategies. They are employed in a variety of areas, including finance and science. They frequently work with data scientists, engineers, researchers, and other experts, with the common goal of tackling problems in a evolving market. These collaborations are typically referred to as research teams. Quantitative researchers are accountable for arranging and presenting analysis results to the appropriate parties within the company. Researchers who are quantitative typically work in an office setting with computers, though work-from-home opportunities exist as well (which typically are contracted on a contractual basis).
The most common requirements for education are the attainment of an higher degree (such as an Ph.D. or master's degree) in math, statistics engineering, physics economics, finance and behavioral/social sciences, or a related area. A lot of quantitative researchers have degrees in computer science, engineering physical sciences, math. Researchers in quantitative research should have excellent communication skills as well as the capacity to be a part of large-scale business conversations. They should also have solid understanding of natural processing of language images, pattern recognition, image processing and artificial intelligence and should be proficient in Java, C++, Fortran, Python, and Linux.