Quant Developer

823.752 kr. (DKK)/yr

396,03 kr. (DKK)/hr

33.939 kr. (DKK)/yr

The average quant developer gross salary in Køge, Denmark is 823.752 kr. or an equivalent hourly rate of 396 kr.. This is 3% lower (-28.911 kr.) than the average quant developer salary in Denmark. In addition, they earn an average bonus of 33.939 kr.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Køge, Denmark. An entry level quant developer (1-3 years of experience) earns an average salary of 582.752 kr.. On the other end, a senior level quant developer (8+ years of experience) earns an average salary of 934.667 kr..

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Salary Potential

894.861 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

Køge, Denmark

The cost of living in Køge, Denmark is 5% more 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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Køge (Danish pronunciation: [ˈkʰøː(j)ə], older spelling Kjøge) is a Danish seaport on the coast of Køge Bugt (Bay of Køge) 39 km southwest of Copenhagen. It is the principal town and seat of Køge Municipality, Region Zealand, Denmark. In 2025, the urban area had a population of 38,506. The natural harbour and strategic location have given Køge a long history as a market town. Today, that past is evident in a well-preserved old town centre with many half-timbered houses. Køge is located in the Co

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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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