Trainer – Data & Analytics

This is a fully remote position, open to applicants in Germany.

📋 Description

• Assist and guide participants during the hands-on training sessions throughout the continuing education program.

• Provide online classroom instruction for continuing education courses in Quantitative Investment Analysis & Portfolio Management, Data Science, Business Intelligence, and Database Management & Data Analytics.

• Address subject-specific inquiries and support participants in their educational journey.

• Offer feedback on participants' progress and deliver constructive, subject-oriented critiques.

• Share your insights and expertise to enhance the ongoing development of training materials.

• Teach concepts, methodologies, techniques, and tools related to financial market analysis, machine learning, data visualization, and databases.

• Aid participants in aligning the skills they gain with the demands of the labor market.

⛳️ Requirements

• A completed degree in business, information sciences, engineering, or a related discipline.

• Experience as an educator, research associate, trainer, or lecturer.

• Extensive knowledge of quantitative finance, data science, and business intelligence.

• Proficient in Python, NumPy, Pandas, Matplotlib, Seaborn, Jupyter Notebook, SQL, MySQL, Power BI, and Tableau.

• Exceptional communication skills, with the ability to clearly articulate complex subjects.

• Strong methodological skills for effectively delivering practical assignments and supporting participants.

• Excellent teaching abilities and experience in designing engaging learning formats.

• Fluency in both written and spoken German and English.

🏝️ Benefits

• Significant creative freedom in designing and conducting live training sessions.

• The chance to influence lesson structures and assist participants throughout their learning experience.

• Access to templates and resources for independently developing training materials and presentations.

• A trusting and collaborative work environment based on mutual respect.

• Opportunities for networking with authors, trainers, and mentors.