Software Engineer

Key Responsibilities: Trading Desk Systems Development: Design, develop, and optimize high-performance, real-time Python applications and APIs supporting automated trading, market data feeds, and pricing engines. [Risk & P&L Platforms: Build and support systems that handle intraday and end-of-day risk calculations, Profit and Loss (P&L) explanations, and secondary market booking workflows Rapid Prototyping: Partner directly with quantitative researchers and traders to turn mathematical models and tactical requirements into stable, functional production software. Data Engineering & Analytics: Build and maintain scalable, transversal data platforms using scientific Python libraries to accelerate data analysis and visualization across the firm. Dev Ops & Infrastructure: Manage and automate modern CI/CD pipelines utilizing containerization technologies to ensure frictionless deployment and high availability of live environments. System Optimization: Identify performance bottlenecks in latency-critical code, refactoring and optimizing logic to ensure flawless secondary market activities.

Experience: Minimum of 2+ years explicitly focused on Python backend or full-stack software development. Core Python Expertise: Advanced proficiency in modern object-oriented Python, including data-centric and scientific libraries such as Pandas, Num Py, and Sci Py. Domain Knowledge (Mandatory): Solid understanding of Capital Markets and asset classes (e.g., Fixed Income, Equity Derivatives, Commodities, or FX) alongside Order Management Systems (OMS) or Execution Management Systems (EMS).Database & SQL: Extensive experience handling large financial datasets utilizing SQL, relational databases, or time-series databases.