(Junior) Quantitative Trader (Market Making) (m/f/x)

  • As a (Junior) Quantitative Trader, you will immerse yourself in the fast-paced environment of equity trading on Scalable Capital's market making desk.
  • You will collaborate with seasoned traders and (quantitative) financial engineers, deepening your understanding of market dynamics, algorithmic trading strategies, and risk management.
  • Become a market maker for equities, ETFs (equity and fixed income), and other ETPs, providing liquidity and facilitating efficient trading on the European Investor Exchange (EIX)
  • Design, backtest and implement trading algorithms to enhance quoting and execution strategies, and adapt to changing market conditions, ensuring high code quality through version control and automated testing
  • Analyze market data, large datasets, leveraging time-series databases for efficient research
  • Leverage your programming skills to automate data processing, handle real-time data streams, and enhance data visualization
  • Support the development and optimization of trading systems, enhancing 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
  • It is advantageous if you have gained initial internship experience in finance or banking, ideally in investment banking or at a fintech company.
  • You demonstrate proficiency in programming languages such as Python, C++, C#, Rust and SQL, and have experience using data analysis tools (such as Streamlit or Google Tesseract/OCR) and libraries (such as Pandas, NumPy, Scipy, Seaborn, scikit-learn).
  • Additionally, you have practical experience with version control systems (e.g., Git/GitHub) and modern software engineering practices (CI/CD, Docker).
  • It is advantageous if you not only have a strong interest in financial markets, trading, and investment strategies, but also practical experience.
  • A solid understanding of market microstructure, limit order books, and trading protocols (such as FIX) is a strong plus.
  • University degree, preferably in Finance, Mathematics, Statistics, Computer Science, or related
  • Familiarity with time-series databases (e.g., InfluxDB, kdb+/q) and streaming technologies (e.g., Apache Kafka) is highly beneficial
  • Proficiency in Microsoft Excel (or Google Sheets)
  • Demonstrable interest in financial markets, trading, and investment strategies
  • Ability to deliver under pressure with excellent analytical skills in a fast-paced environment
  • A collaborative problem-solver with attention to detail, along with strong communication and teamwork skills
  • Fluent in English
  • Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
  • Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
  • Work from our centrally located offices in the heart of Munich or Berlin, nestled in lively neighborhoods filled with vibrant restaurants, cozy cafés, and a wide range of convenient amenities
  • Be productive with the latest hardware and tools
  • Learn and grow by joining our in-house knowledge sharing or career development sessions and spending your individual Education Budget
  • Learn and experience German culture first hand by joining our free German language classes
  • International relocation support is provided if required
  • Opportunity to work from abroad
  • Benefit from an attractive compensation package and from the company pension scheme
  • Monthly contribution of 50% for the ‘Deutschland Jobticket’
  • Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker
  • Enjoy flexible and discounted sports activities with Urban Sports Club

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