#DataArt #Python #vacancy #Georgia
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есть неплохая вакансия:

🔻Company: DataArt
Location: 🇬🇪Georgia (remote or office) or relocation from any country
😁Reviews and ratings on Glassdoor: https://www.glassdoor.com/Reviews/DataArt-Reviews-E430394.htm
🔻Position: Python Developer (Middle/Senior)
🔻4000-6000$ (netto)
🔻Geography of the project: 🇺🇸
🔻Description of the project and tasks: They provide a music service that allows producers to sample original music and clear the samples for official use. The platform was founded to solve legal and ethical issues surrounding sampling and music clearances.
🔻Stack on the project:
Python/Django/Elasticsearch/Rabbit MQ/Celery
🔻Teams size: 12 team members
🔻You:
- B1/B2 English
- 3+ years of experience working with Python
- Experience with GCP or another clouds
- Experience in using object-relational mapping (ORM) technologies
- Skills in building RESTful APIs in Python
- Experience with relational DBMS (PostgreSQL)
🔻From us:
- Help with opening IP
- Compensation of opening IP/bank account (100$)
- Financial/moral/legal assistance in case of relocation
- Full remote working
- Ability to work from any of 24 offices in 8 countries (after time)
- Classics: English, VMI, 100% sick pay
- A huge educational portal
- One of the most flexible places of work
- Excellent reviews on the Internet / from colleagues

Please write here: @DmitryS4

#DataArt #Python #Quant #vacancy #Georgia

Company: DataArt
Location: 🇬🇪Georgia (remote) or office Tbilisi/Batumi
Reviews and ratings on Glassdoor: https://www.glassdoor.com/Reviews/DataArt-Reviews-E430394.htm
Position: Quant (Python) Developer
Salary: 3000-5500$ (netto)
Geography of the project: 🇪🇺
Description of the project and tasks:
Our client is a quantitative investment management company dedicated to generating returns and providing valuable diversification for their clients’ wider portfolios across a range of market environments.
Stack on the project: Linux, Python, SQL, AWS, Docker, GIT, FastAPI, numpy, pandas, dask
Teams size: 10+ team members
🔻You:
- B2 English
- Strong mathematical and statistical skills are essential for modeling and analyzing financial data
- Proficiency in Python, and knowledge of data analysis libraries
- Ability to work with large datasets, time-series data, and databases
- Basic domain knowledge in Fixed Income, Stocks, ETF, basics of futures/commodity trading
- An understanding of financial instruments, markets, and investment/proprietary trading strategies is critical
- Skills in measuring and managing risk, including using tools like Value at Risk (VaR) and stress testing
- Familiarity with machine learning techniques for predictive modeling and pattern recognition
- Understanding of optimization algorithms and techniques for portfolio optimization and model parameter tuning
- Proficiency in software engineering principles, version control, and automated testing
- Positive, good soft-skills, humor and rock😁
🔻From us:
- Help with opening individual entrepreneur
- Compensation of opening IE/bank account
- Financial/moral/legal assistance in case of relocation
- Full remote working
- Ability to work from any of 26 offices in 10 countries (after time)
- Classics: English, VMI, 100% sick pay
- A huge educational portal
- One of the most flexible places of work
- Excellent reviews on the Internet / from colleagues

📌Please write here: @DzmitryS4