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

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox (Junior) Quantitative Trader (Market Making) (m/f/x)Full-timeCompany DescriptionScalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €30 billion to the platform.Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say. Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).Job DescriptionAs 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 testingAnalyze market data, large datasets, leveraging time-series databases for efficient researchLeverage your programming skills to automate data processing, handle real-time data streams, and enhance data visualizationSupport the development and optimization of trading systems, enhancing efficiency, robustness, and scalable deploymentAssist in optimizing treasury and liquidity management to ensure effective cash flow, funding strategies, and risk mitigationUnderstand and apply risk management practices and ensure regulatory complianceWork closely with quantitative engineers, developers, and seasoned tradersQualificationsIt 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 relatedFamiliarity with time-series databases (e.g., InfluxDB, kdb+/q) and streaming technologies (e.g., Apache Kafka) is highly beneficialProficiency in Microsoft Excel (or Google Sheets)Demonstrable interest in financial markets, trading, and investment strategiesAbility to deliver under pressure with excellent analytical skills in a fast-paced environmentA collaborative problem-solver with attention to detail, along with strong communication and teamwork skillsFluent in EnglishAdditional InformationBe part of one of...