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Company & RoleThe firm are pioneers in the field of Power Trading, dedicated to navigating the intricacies of energy markets. Their innovative strategies and advanced analytics are being utilized to propel them forward in optimizing trading opportunities, while maintaining a commitment to sustainability and excellence. As a Senior Data Scientist, you will play a pivotal role in the team, conducting in-depth analysis and developing sophisticated models to understand and forecast power market behaviour.
- Collaborating with cross-functional teams to design, implement, and validate quantitative models.
- Utilizing statistical techniques, machine learning, and data analysis to extract insights from complex datasets.
- Developing and enhancing trading strategies based on your quantitative findings.
- Contributing to the innovation and refinement of trading algorithms and risk management processes.
- Strong background in quantitative disciplines such as Mathematics, Statistics, Physics, Computer Science, Economics, or related fields.
- Proficiency in programming languages like Python, R, or MATLAB for quantitative analysis and modeling.
- Experience with time series analysis, stochastic modeling, and/or machine learning techniques applied to financial or energy markets.
- Excellent problem-solving skills and the ability to communicate complex concepts effectively.
- Knowledge of the power/energy markets.
Who are Digital Republic Talent?Digital Republic Talent has been created with the sole purpose of delivering dedicated data-driven digital recruitment solutions across the UK, the US & Germany. Digital Republic Talent aims to use our in-depth expertise to provide an unparalleled experience to anyone doing business with our passionate and motivated team.
How to Apply?If you are interested in the Senior Data Scientist role and want to find out more, apply via the link at the bottom of this page or contact Digital Republic Talent by email ([email protected]) or call 0204 518 5729. Check our Job Vacancies page for more job opportunities.
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