Quant Developer

฿1,058,025 (THB)/yr

฿508.67 (THB)/hr

฿43,591 (THB)/yr

The average quant developer gross salary in Ko Samui, Thailand is ฿1,058,025 or an equivalent hourly rate of ฿509. This is 5% lower (-฿58,083) than the average quant developer salary in Thailand. In addition, they earn an average bonus of ฿43,591. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Ko Samui, Thailand. An entry level quant developer (1-3 years of experience) earns an average salary of ฿754,423. On the other end, a senior level quant developer (8+ years of experience) earns an average salary of ฿1,224,478.

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Salary Potential

฿1,174,847 (THB)

11 %

Based on our compensation data, the estimated salary potential for Quant Developer will increase 11 % 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

Ko Samui, Thailand

The cost of living in Ko Samui, Thailand is 6% more than the average cost of living in Thailand. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

View Cost of Living Page

Ko Samui or Koh Samui (Thai: เกาะสมุย, pronounced [kɔ̀ʔ sāmǔj]), often locally shortened to Samui, is an island off the east coast of Thailand. Geographically in the Chumphon Archipelago, it is part of Surat Thani Province, though as of 2012, Ko Samui was granted municipal status and thus is now locally self-governing. Ko Samui, with an area of 228.7 square kilometres (88.3 sq mi), is Thailand's second largest island after Phuket. In 2018, it was visited by 2.7 million tourists.

Sourced from Wikipedia
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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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