Position: Python Developer - work only from Poland
Company: Luxoft
Experience required: 3y
English level: upper

Project Description:
We are currently seeking a skilled Python Developer to join client's Energy Trading team. The ideal candidate will work closely with traders to develop strategic solutions and provide ad-hoc support, using their expertise in Python, SQL, and reporting tools. A background in statistical modeling and experience with gas or power fundamental/price data is a plus.
Responsibilities:
- Collaborate with traders to understand their requirements and develop data-driven strategic solutions to support decision-making in energy trading.
- Provide ad-hoc analytical support to traders by extracting, processing, and interpreting data.
- Leverage knowledge of Python, particularly statistical/data manipulation/visualization libraries (such as pandas, numpy, scipy, and matplotlib), to analyze and interpret large datasets.
- Utilize SQL / Redshift / S3 to query and manipulate data to meet specific requirements.
- Create insightful reports and dashboards using Tableau, Plotly, Dash or other reporting tools.
- Assist in the development and implementation of statistical models, linear optimizations, and machine learning algorithms to improve trading strategies.
- Stay up-to-date with industry trends and developments in energy markets, particularly in gas and power fundamentals and price data.
Mandatory Skills Description:
- Minimum 3+ years of experience as Python developer
- Strong knowledge of Python, particularly the statistical/data manipulation/visualization libraries (e.g., pandas, numpy, scipy, and matplotlib).
- Proficiency in SQL, Redshift, or S3 for data querying and manipulation.
- Experience in using reporting tools like Tableau, Plotly, Dash or other to create visually appealing and informative reports and dashboards.
- Excellent problem-solving skills and ability to work in a fast-paced, high-pressure environment.
- Very strong communication skills to effectively collaborate with traders and other team members.
Nice-to-Have Skills:
- Familiarity with statistical modeling, linear optimizations, and machine learning techniques.
- Experience working with gas or power fundamental/price data, preferably in an energy trading context.
- Knowledge of the energy industry and a solid understanding of market dynamics.