Scalable GmbH is looking for a Quantitative Trader to join its market making desk. You will immerse yourself in equity trading, collaborate with seasoned traders and engineers, and become a market maker for equities, ETFs, and other ETPs on the European Investor Exchange.

What You'll Do

Collaborate with seasoned traders and quantitative financial engineers to deepen your understanding of market dynamics, algorithmic trading strategies, and risk management.
Become a market maker for equities, ETFs, and other ETPs, providing liquidity and facilitating efficient trading on the European Investor Exchange.
Design, backtest, and implement trading algorithms to enhance quoting and execution strategies, adapting to changing market conditions.
Analyze market data and large datasets, leveraging time-series databases for efficient research.
Use programming skills to automate data processing, handle real-time data streams, and enhance data visualization.
Support the development and optimization of trading systems for efficiency, robustness, and scalable deployment.
Assist in optimizing treasury and liquidity management to ensure effective cash flow, funding strategies, and risk mitigation.
Understand and apply risk management practices and ensure regulatory compliance.
Work closely with quantitative engineers, developers, and seasoned traders.

What We're Looking For

A university degree, preferably in Finance, Mathematics, Statistics, Computer Science, or a related field.
Proficiency in programming languages such as Python, C++, C#, Rust, and SQL.
Experience using data analysis tools and libraries like Pandas, NumPy, Scipy, Seaborn, and scikit-learn.
Practical experience with version control systems like Git/GitHub and modern software engineering practices including CI/CD and Docker.
Proficiency in Microsoft Excel or Google Sheets.
A demonstrable interest in financial markets, trading, and investment strategies.
The ability to deliver under pressure with excellent analytical skills in a fast-paced environment.
A collaborative problem-solver with attention to detail, strong communication, and teamwork skills.
Fluent proficiency in English.

Nice to Have

Initial internship experience in finance or banking, ideally in investment banking or at a fintech company.
Practical experience with financial markets, trading, and investment strategies.
A solid understanding of market microstructure, limit order books, and trading protocols like FIX.
Familiarity with time-series databases like InfluxDB or kdb+/q and streaming technologies like Apache Kafka.