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The differences between quantitative analysts and data scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a quantitative analyst and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $101,197 average annual salary of a quantitative analyst.
The top three skills for a quantitative analyst include python, SAS and risk management. The most important skills for a data scientist are python, data science, and visualization.
| Quantitative Analyst | Data Scientist | |
| Yearly salary | $101,197 | $106,104 |
| Hourly rate | $48.65 | $51.01 |
| Growth rate | 9% | 16% |
| Number of jobs | 48,644 | 106,973 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 53% | Bachelor's Degree, 51% |
| Average age | 40 | 41 |
| Years of experience | 4 | 4 |
A quantitative analyst is trained to gather quantitative methods to help companies do business and make other related decisions. In the world of trading, quantitative analysts are in demand. It is their job as quantitative analysts to help banks value their securities. They identify cost-effective investment opportunities and measure risk. They can also work for the insurance companies to develop pricing models and assess risk evaluation strategies. Also, some quantitative analysts work on the back end to enhance computer software and to evaluate financial data.
A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.
Quantitative analysts and data scientists have different pay scales, as shown below.
| Quantitative Analyst | Data Scientist | |
| Average salary | $101,197 | $106,104 |
| Salary range | Between $68,000 And $148,000 | Between $75,000 And $148,000 |
| Highest paying City | New York, NY | Richmond, CA |
| Highest paying state | New York | California |
| Best paying company | The Citadel | The Citadel |
| Best paying industry | Technology | Start-up |
There are a few differences between a quantitative analyst and a data scientist in terms of educational background:
| Quantitative Analyst | Data Scientist | |
| Most common degree | Bachelor's Degree, 53% | Bachelor's Degree, 51% |
| Most common major | Finance | Computer Science |
| Most common college | University of Notre Dame | Columbia University in the City of New York |
Here are the differences between quantitative analysts' and data scientists' demographics:
| Quantitative Analyst | Data Scientist | |
| Average age | 40 | 41 |
| Gender ratio | Male, 79.5% Female, 20.5% | Male, 79.6% Female, 20.4% |
| Race ratio | Black or African American, 5.6% Unknown, 4.5% Hispanic or Latino, 7.7% Asian, 14.1% White, 68.0% American Indian and Alaska Native, 0.1% | Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 7% | 9% |