Analyse market data to gain valuable insights for our clients by leveraging advanced data analytics on, e.g., full depth order book data.

Streamline data flows and build robust processes enabling signal generation on demand.

Apply statistical tests and clustering algorithms to uncover market patterns.

Collaborate with a professional team to explore innovative solutions in financial market liquidity, trading and risk management.

Academic Background: Currently enrolled in a university program, with a focus on finance, data science, computer science, mathematics, or a related field.

Strong interest in financial markets, with a solid understanding of financial products and trading mechanisms.

Excellent statistical knowledge, including familiarity with tests for independence.

Proficiency in Python programming; experience with machine learning (especially clustering algorithms) is a plus.

First-hand experience working with large datasets and applying analytical tools.

Languages: Proficiency in German is required

Duration: Minimum 6 months.

Hours: At least 16 hours per week.

Work Environment: Flexible arrangements, with office days in Munich as part of onboarding and teamwork (we are open to organizing this based on your needs).

Location: Must reside in Germany

Compensation: Competitive hourly wage of €18.