We are seeking a Front Office Senior Software Engineer who will involve close collaboration with Quantitative Researchers and Portfolio Managers. You will encounter a diverse set of tasks, such as integrating new data sets, incorporating novel trading signals, creating tools for portfolio optimization, constructing data visualization frameworks, improving our research platform, and optimizing existing code for enhanced performance through efficient numerical algorithms and cluster-computing solutions.
The ideal candidate will:
* Have expertise in Python and Pandas, along with proficiency in associated scientific libraries like NumPy, SciPy, stats models, and scikit-learn
* Seasoned in crafting mission-critical production systems, with a keen grasp of top-tier methodologies for testing, monitoring, and deployment
* Adept with Linux platforms and possessing a solid comprehension of Git
* Competent in utilizing one or more pertinent database technologies, such as MS SQL, Postgres, or MongoDB
* Proven expertise in handling extensive data sets, encompassing both structured and unstructured data