Data Analyst internship

As a Data Analyst Intern on the Carbon Quantitative team, you will contribute to the development of European carbon market analytics. Your primary responsibilities include: - Data-Driven Insights: Collect, clean, and analyze large datasets related to carbon markets to identify trends, patterns, and anomalies. Use statistical methods and data visualization tools to present findings to the team. - Trading Behavior Research: Investigate and model trading behaviors in the European carbon market. Analyze historical trading data to understand market dynamics, participant strategies, and regulatory impacts. - Fundamental Market Modeling: Assist in building and refining fundamental models that simulate carbon market behavior. Incorporate factors such as supply-demand balances, policy changes, and economic indicators to improve model accuracy. - Collaboration: Work closely with experienced analysts to support ongoing research projects. Participate in team meetings to discuss findings, methodologies, and next steps. - Reporting: Prepare regular reports and presentations summarizing research outcomes, model performance, and actionable insights for internal stakeholders. - Tool Development: Contribute to the development and maintenance of analytical tools and databases used for carbon market analysis. Ensure data integrity and efficiency in data processing workflows. - Ad-Hoc Analysis: Respond to ad-hoc requests from team members for specific data analyses or model runs to support decision-making processes.

Qualifications and requirements: - Currently pursuing a Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, or a related discipline. - Strong analytical and problem-solving skills with the ability to work with complex datasets. - Proficiency in programming languages such as Python or R for data analysis and modeling. - Experience with data visualization tools (e.g., Tableau, Power BI, or matplotlib). - Knowledge of statistical methods and machine learning techniques is a plus. - Familiarity with carbon markets or energy markets is advantageous but not required. - Excellent communication skills in English; French or German is a plus. - Ability to work independently and as part of a team in a fast-paced environment. - This position is suitable for an end-of-studies internship (PFE) or a gap year internship, with a duration of 6 months.

LexisNexis Risk Solutions provides data analytics and risk management solutions, with a focus on carbon market analytics and trading behavior research.