Description
Description: We are looking for a talented Data Scientist to join our team at Vis Commodities. In this role, you will work closely with our team of traders, quantitative analysts, and machine learning engineers to develop data-driven solutions for algorithmic trading in the energy and finance sectors. You will be responsible for analyzing large datasets, building predictive models, and generating insights to inform trading strategies. The ideal candidate will have a strong background in data science, machine learning, and programming, with a passion for applying data-driven approaches to solve complex trading problems.
Responsibilities
- Collect, clean, and analyze large datasets from various sources, including market data, financial statements, and economic indicators.
- Build and deploy machine learning models for predictive analytics, anomaly detection, and risk assessment in algorithmic trading.
- Collaborate with traders and quantitative analysts to understand trading strategies and develop data-driven solutions to optimize trading performance.
- Design and implement data pipelines and infrastructure for collecting, storing, and processing data for algorithmic trading.
- Stay informed about developments in data science, machine learning, and trading technology, and incorporate new techniques and tools into our trading platform.
Requirements
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field.
- Proficiency in programming languages such as Python, R, or SQL.
- Strong background in data science, machine learning, and statistical analysis.
- Experience with data visualization tools such as matplotlib, seaborn, or Tableau.
- Familiarity with financial markets, trading instruments, and trading strategies is a plus.
- Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.
Location: Aarhus, Denmark
Send your application and CV to: info@visalgorithmics.com