Responsibilities

• Develop and maintain scalable solutions using Python, PySpark, and SQL.
• Design and implement data pipelines (ingestion, transformation, modelling, data quality checks, automation).
• Build and integrate APIs (REST, SOAP, gRPC), including authentication and authorization.
• Contribute to application architecture design, applying best practices and design patterns.
• Implement Test-Driven Development (TDD) and ensure high code quality.
• Support and enhance CI/CD pipelines and DevOps processes.
• Work with cloud platforms (AWS, Azure) and data platforms such as Databricks and Palantir Foundry.
• Develop UI components and dashboards using Dash, JavaScript, and React.
• Integrate with market data and investment platforms.
• Support quantitative models and analytics (Monte Carlo simulations, pricing, risk, factor modelling).
• Contribute to portfolio management processes ...