Quant Developer

803.484 kr. (DKK)/yr

386,29 kr. (DKK)/hr

33.104 kr. (DKK)/yr

The average quant developer gross salary in Næstved, Denmark is 803.484 kr. or an equivalent hourly rate of 386 kr.. This is 6% lower (-49.218 kr.) than the average quant developer salary in Denmark. In addition, they earn an average bonus of 33.104 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Næstved, Denmark. An entry level quant developer (1-3 years of experience) earns an average salary of 568.414 kr.. On the other end, a senior level quant developer (8+ years of experience) earns an average salary of 911.670 kr..

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Salary Potential

872.844 kr. (DKK)

9 %

Based on our compensation data, the estimated salary potential for Quant Developer will increase 9 % over 5 years.

Education

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

Typical Field of Study: Biostatistics

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City Overview

Næstved, Denmark

The cost of living in Næstved, Denmark is 0% less than the average cost of living in Denmark. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

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Næstved (Danish pronunciation: [ˈnestve̝ð]) is a town in the municipality of the same name, located in the southern part of the island of Zealand in Denmark. Næstved has several adult education centers, five elementary schools - and has at least one of each type of the four upper-second-level education centers. The city has the largest high school in Denmark, Næstved Gymnasium & HF.

Sourced from Wikipedia
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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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