Developer Quantitative

62.553 € (EUR)/yr

30,07 € (EUR)/hr

2.577 € (EUR)/yr

The average developer quantitative gross salary in Badajoz, Spain is 62.553 € or an equivalent hourly rate of 30 €. This is 16% lower (-11.482 €) than the average developer quantitative salary in Spain. In addition, they earn an average bonus of 2.577 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Badajoz, Spain. An entry level developer quantitative (1-3 years of experience) earns an average salary of 44.211 €. On the other end, a senior level developer quantitative (8+ years of experience) earns an average salary of 70.854 €.

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Salary Potential

70.258 € (EUR)

12 %

Based on our compensation data, the estimated salary potential for Developer Quantitative will increase 12 % over 5 years.

Education

This chart displays the highest level of education for:
Developer Quantitative, the majority at 100% with bachelors.

Typical Field of Study: Biostatistics

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City Overview

Badajoz, Spain

The cost of living in Badajoz, Spain is 5% less than the average cost of living in Spain. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Badajoz is the capital of the province of Badajoz in the autonomous community of Extremadura, Spain. It is situated close to the Portuguese border, on the left bank of the river Guadiana. The population in 2011 was 151,565. Badajoz (Baṭalyaws) was founded by Ibn Marwan towards 875. In the 11th century, it became the seat of the Taifa of Badajoz, noted as a hub for (high) cultural production under the Aftasids despite military and political unstability. Badajoz was conquered by the Kingdom of Leó

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Disclaimer
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Implements statistical models and data pipelines. Determines automated test plan, deciding on test cases and troubleshooting bugs. Collaborates with data scientists and software engineers to create and deploy solutions.
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