2378 Statistical Modeling jobs in Flushing, NY

Expert-level software engineering skills in C++, with proficiency in Python, shell scripting, SQL, and Linux (preferably in a command-line environment)
Bachelor's degree in a quantitative field such as Financial Engineering, Physics, Applied Mathematics, Computer Science, or a closely related discipline, with at least six (6) years of experience as a Senior Quant Developer or in a similar role
Experience with cloud technologies, particularly AWS, and container orchestration platforms such as EKS
Experience in quantitative analytics, ideally in the fixed income market, including interest rate modeling and interest rate derivatives
Strong skills in quantitative finance, with an emphasis on applying numerical methodologies to financial problems, including finite-difference methods for PDE solvers, tree models, Monte Carlo simulation, and optimization techniques for curve fitting
Strong proficiency in object-oriented programming (OOP) principles and hands-on experience implementing design patterns in production code
Deep understanding of probability theory, linear regression, and time-series analysis
Familiarity with Secure Software Development Life Cycle (SSDLC) practices and implementation
Full-stack software development knowledge and critical thinking skills to design optimal solutions for high-performance fixed income analytics
Experience implementing CI/CD and DevOps best practices, including Continuous Integration and Continuous Deployment pipelines (using Linux and Jenkins), and code versioning with GitHub
Strong presentation and communication skills, with the ability to effectively engage with quantitative researchers and investment professionals

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