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Data Scientist
in OneMarketData
2 500 — 4 500 $/month net
Technologies / Tools
OneMarketData is continuously searching for bright talent with the skills to make an impact. From developers to data scientists, at OneTick you will have the opportunity to develop and enhance your problem-solving skills using a combination of analytics, imagination, and talent.
We have a high impact role for a Data Scientist to work with time series data on trading related use cases to build solutions/products for a variety of financial organizations.
You will be working with a Data Science lead.
Command stack
- ML libraries including Scikit-learn, LightGBM, PyTorch, TensorFlow.
- Python 3, Pytest, Pandas.
- Ray.io, MLflow, AWS.
You will
Experiment with tick-by-tick market data (trades and quotes) to find the right features, preprocessing, model, and hyperparameters for problems such as volume prediction, volatility prediction, direction of next trade, crumbling quote, pre-trade TCA, etc.
Expectations
- 2+ years of full-time data science experience.
- 1 + years of experience working with time series data.
- 1 + years of Python.
- Git, Linux.
- Analytical, algorithms-oriented mindset.
- Willingness to understand the business and take initiative to suggest technical solutions.
General requirements:
- English — Upper-Intermediate or higher.
- Good communicative skills, being able to explain difficult things in simple words.
- Being eager to learn new technologies (including area-specific).
- Attentiveness, hard-working and goal-oriented mindset (to have the tasks done), opportunity to work both in team and independently.
Useful links
About company OneMarketData
OneMarketData — ведущий поставщик ПО и данных для финансовой индустрии. Основная технология компании — OneTick (time series база данных, оптимизированная для сбора, хранения и анализа tick data). Представительства OneMarketData находятся в Нью-Йорке, Лондоне и Ереване. Заказчики — крупнейшие мировые банки, hedge фонды и биржи, среди которых: Bloomberg, Itiviti, Optiver, Credit Suisse, Instinet, Tudor Funds и т.д.