Fraud Analyst salary in Kenya

Average Yearly Salary of Fraud Analyst in Kenya is approximately 737,151 KES (4,667 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 Fraud Analyst do?

A fraud analyst is responsible for detecting and preventing fraudulent activities within an organization. They analyze data, investigate suspicious transactions, and identify patterns or trends that may indicate fraudulent behavior. The main goal of a fraud analyst is to minimize financial losses and protect the company's reputation. They work closely with other departments such as finance, risk management, and law enforcement agencies to gather information and develop strategies to prevent fraud. Additionally, fraud analysts may also be involved in creating fraud detection systems and implementing fraud prevention measures. Attention to detail, strong analytical skills, and knowledge of fraud detection techniques are essential for success in this occupation.

Skills: Fraud analyst, Risk management, Fraud detection, Financial loss prevention, Data analysis, Investigative skills
Job industry: Finance

How much does Fraud Analyst make?

Difference in salary year over year or average salary increase is approximately 3 %


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Salary comparison to National average

Is Fraud Analyst a well paid job?

Yes, our data show that Fraud Analyst is an averagely well paid job that still allows for some yearly savings. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Fraud Analyst?

High salary for Fraud Analyst would be somewhere between 810,866 KES and 1,068,869 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Fraud Analyst 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: 737,151 KES
Estimated Monthly Salary: 61,429 KES
Estimated Weekly Salary: 14,176 KES per week
Estimated Hourly Salary: 354 KES per hour
By working as Fraud Analyst a person can save up to 149 USD per month or 1,787 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 Fraud Analyst

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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