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We pride ourselves on and value intellectual curiosity and hard work, investing in people who are driven to learn and achieve. We are a merit-focused and talent-driven organization, characterized by compassion, respect, and modesty among our team members. We believe in maintaining a healthy and happy lifestyle in an intellectually stimulating environment.\nResponsibilities:\nArchitect, build, and maintain the central research platform, including event-driven simulation engines, and high-performance Python libraries for quantitative researchers\nDevelop infrastructure that allows strategies to publish their signals efficiently, enabling aggregation and portfolio-level optimization\nOptimize system performance, reliability, and reproducibility, including parallelization, compute resource management, and tooling to ensure consistent research and production results\nDevelop analytical frameworks that allow researchers to evaluate signal performance, visualize backtest results, and analyse risk metrics\nManage and optimize containerized environments (Docker/Kubernetes) to ensure scalable and reproducible deployment of research models\nMonitor the status of production tasks and research jobs; actively perform troubleshooting and issue resolution to ensure platform stability and availability\nRequired Technical Qualification, Skills, and Experience:\nA bachelor’s degree in Computer Science, Engineering, or STEM field\nAdvanced proficiency in Python. Ability to write clean, production-ready code with a focus on performance and maintainability\nProficiency building and maintaining docker containers and managing deployments on Kubernetes (K8s)\nProficiency in utilizing AWS services (e.g., EKS, S3, RDS)\nFamiliarity with financial asset classes such as Equities, Derivatives, Fixed Income, FX, etc\nSelf-motivated and disciplined with strong organizational skills. 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