Quant Engineer

89 517 € (EUR)/yr

43,04 € (EUR)/hr

3 688 € (EUR)/yr

The average quant engineer gross salary in Finland is 89 517 € or an equivalent hourly rate of 43 €. In addition, they earn an average bonus of 3 688 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Finland. An entry level quant engineer (1-3 years of experience) earns an average salary of 63 269 €. On the other end, a senior level quant engineer (8+ years of experience) earns an average salary of 101 396 €.

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Salary Potential

100 055 € (EUR)

12 %

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

Education

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

Typical Field of Study: Biostatistics

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Country Overview

Finland

Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Finland, or the Republic of Finland, is a Nordic country in Northern Europe. It borders Sweden to the northwest, Norway to the north, and Russia to the east, with the Gulf of Bothnia to the west and the Gulf of Finland to the south, opposite Estonia. Its capital and largest city is Helsinki. Finland has a population of 5.7 million. The official languages are Finnish and Swedish, the mother tongues of 83.5 percent and 5.0 percent of the population, respectively. Finland's climate varies from humi

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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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