Quantitative Researcher salary in Kenya

Average Yearly Salary of Quantitative Researcher in Kenya is approximately 2,066,836 KES (13,016 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Quantitative Researcher do?

A quantitative researcher is an individual who applies statistical and mathematical methods to analyze data and solve complex problems. They work in various fields such as finance, market research, social sciences, and healthcare. Their main responsibility is to design and conduct experiments, collect and interpret data, and develop models and algorithms to predict future trends or outcomes. Quantitative researchers use various tools and software to analyze data, such as statistical software packages (e.g., R, Python), databases, and data visualization tools. They often collaborate with other researchers or professionals to gather data and validate their findings. Strong analytical and problem-solving skills are crucial for this occupation, as well as the ability to communicate complex concepts effectively.

Skills: quantitative researcher, data analysis, statistical modeling, research methodology, data interpretation, predictive analytics
Job industry: Finance

How much does Quantitative Researcher make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Quantitative Researcher a well paid job?

Yes, our data show that Quantitative Researcher is a very well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Quantitative Researcher?

High salary for Quantitative Researcher would be somewhere between 2,273,520 KES and 2,996,912 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Quantitative Researcher in Kenya?

Living in Kenya the approximate monthly expenses are: 240 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 2,066,836 KES
Estimated Monthly Salary: 172,236 KES
Estimated Weekly Salary: 39,747 KES per week
Estimated Hourly Salary: 994 KES per hour
By working as Quantitative Researcher a person can save up to 845 USD per month or 10,136 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Kenya, see costs of living in Kenya.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Ethiopia, Somalia, South Sudan, Tanzania, Uganda..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Quantitative Researcher

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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