Quantitative researchers analyze compiled data to develop improvements to existing business models and/or develop and implement new business models. These researchers work in a variety of fields, especially in science and finance. They often collaborate with data scientists, researchers, engineers, and other experts with the shared goal of solving business challenges in a constantly changing market; these collaborative efforts are usually called a research team. Quantitative researchers are responsible for structuring and presenting the analyzed data to relevant parties within the business. Quantitative researchers generally work in an office environment in front of a computer, although work from home opportunities do exist as well (which are normally hired on a contract basis).
Educational requirements typically include an advanced degree (such as a Ph.D. or master's degree) in statistics, math, physics, engineering, economics, finance, behavioral/social science, or another relevant field. Many quantitative researchers have backgrounds in engineering, computer science, physical sciences, or mathematics. Quantitative researchers should possess excellent communication skills and the ability to participate in high-level business discussions. They must also have a strong knowledge in natural language processing, image processing, pattern recognition, and artificial intelligence, and they should be familiar with Java, C++, Fortran, Python, and Linux.
Quantitative Researcher Tasks
Identify tactics to reduce noise in data and increase rigor of analyses.
Create and utilize statistical tools, models, and algorithms to answer questions and detect trends.
Work with large datasets to import, clean, format, and understand their contents..
Predict and document trends, problems, and areas for further analysis.