822 Statistical Modeling jobs in Lawrence, MA

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      Sales Representative

      Best Version Media

      Winchester, MA 01890

      ~ 31 min Onsite

      • Recurring, residual commission with unlimited earning potential, 100% commission opportunity
      • Opportunity to build a substantial and sustainable income
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      Senior Quantitative Developer

      Fidelity Investments

      Pelham, NH 03076

      Hybrid~ 24 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

      • 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
      SmartExplore AI is experimental.

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