Internship: Quantitative Software Engineer – Equity Selection

Internship: Quantitative Software Engineer - Equity Selection

Job Description:

We are looking for a motivated and ambitious intern to join our innovative team in Berlin. In this exciting opportunity, you will work alongside top-tier quantitative researchers, machine learning experts, and software engineers to help enhance our advanced quantitative investment system. Your contributions will be vital in developing robust software applications that support extensive financial research and backtesting efforts. You will engage in optimizing code for improved performance and scalability while maintaining high standards of code quality. This internship is perfect for those who are eager to learn and apply their skills in a collaborative environment focused on AI-driven sustainable investment strategies.

IT Languages:

• Python

As an intern, you will be tasked with various responsibilities that are crucial to the success of our quantitative investment initiatives.:

Develop and maintain research infrastructure by designing and implementing scalable software systems., Enhance code performance by optimizing and parallelizing existing code to support large-scale modeling and simulations., Ensure high code quality by adhering to software development best practices, including version control and thorough testing., Refactor and simplify complex code to improve readability and maintainability, facilitating easier future updates., Create tools that enhance model explainability, allowing insights to be accessible to both technical and non-technical team members., Collaborate with cross-functional teams to align technical solutions with business needs., Effectively communicate technical concepts to stakeholders with varying levels of technical expertise.

Spoken Languages:

• English, German

Skillset:

• Proficiency in Python programming.
• Experience with machine learning libraries such as Scikit-Learn
• SciPy
• NumPy
• and Pandas.
• Familiarity with version control systems like Git.
• Ability to write clean
• maintainable code using testing frameworks.
• Understanding of applied statistics and machine learning concepts.
• Interest in financial markets and quantitative investment strategies.

Qualifications:

• Degree in a quantitative field such as Software Engineering
• Mathematics
• Physics
• Computer Science
• Data Science
• or Statistics.
• Strong programming skills in Python
• with a focus on libraries for machine learning
• data analysis
• and financial modeling.

Years of Experience:

1

Location:

Europe

Job Benefits:

• Access to Urban Sports Club or Egym Wellpass.
• Corporate benefits.
• Healthy food options including coffee
• juices
• fruit
• and sandwiches.
• High-end hardware for development.
• Internal workshops and learning opportunities.
• Team-building events and activities.

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• The company fosters a culture of cooperation
• high-quality awareness
• openness
• and meticulous attention to detail. Team members are encouraged to contribute ideas and collaborate across various disciplines
• creating a dynamic work environment that prioritizes professional growth and innovation.

Opportunities For Advancement:

• Gain hands-on experience in quantitative finance and software engineering.
• Opportunities for mentorship from experienced professionals in the field.
• Potential for future employment opportunities within the organization.

Visa Sponsorship:

Available