Senior Quant Developer

- Bachelors degree in a quantitative discipline such as Financial Engineering, Physics, Applied Mathematics, Computer Science, or a related field, coupled with a minimum of six (6) years of experience in a Senior Quant Developer role or similar - Advanced technical degree is highly preferred - Proficient in quantitative analytics, with a focus on the fixed income market, including interest rate modeling and derivatives - Strong foundation in quantitative finance, specializing in numerical methods for financial issues, including finite-difference methods for PDE solvers, tree models, Monte Carlo simulations, and curve fitting optimization techniques - In-depth understanding of probability theory, linear regression, and time-series analysis - Exceptional software engineering capabilities in C++, along with expertise in Python, shell scripting, SQL, and Linux, ideally in a command-line context - Proficient in object-oriented programming (OOP) concepts, with practical experience in applying design patterns in production code - Full-stack software development experience and analytical skills to create efficient solutions for high-performance fixed income analytics - Familiarity with cloud technologies, especially AWS, and container orchestration systems like EKS - Experience in implementing CI/CD and DevOps best practices, including Continuous Integration and Continuous Deployment pipelines using Linux and Jenkins, alongside code management using GitHub - Knowledge of Secure Software Development Life Cycle (SSDLC) practices and their application - Excellent presentation and communication capabilities, with the ability to engage effectively with quantitative researchers and investment professionals - Progress toward CFA (or equivalent) certification is advantageous