Quantitative Researcher

Quantitative Researcher Jump Operations, LLC | New York, NY Job Duties: Responsible for conducting research to model and forecast returns across multiple global options products. Build and maintain high performance trading tools, including front-end research tools that support strategy execution. Research new methods for capturing market information and evaluate signals and model fits sourcing from and predicting multiple financial instruments. Analyze and resolve problems with live strategies, including problems on the software side, as well as with design of predictive models. Develop mathematical models for aggregating information from different instruments (options products). Conduct market microstructure research on hardware-accelerated exchange feed. Develop software infrastructure for utilizing information passing mechanisms across different exchanges and servers. Extend and maintain distributed pipeline infrastructure for parallel model training and evaluation across large-scale compute clusters. Telecommuting: No Telecommuting Allowed Rate of Pay: $250,000 to $300,000 per year Minimum Requirements: Bachelor’s degree, or foreign equivalent in Mathematics, Computer Science, or a related quantitative field. Special Requirements: Must have experience or coursework in the following: C++ and Python development in a Linux environment; Design and implementation of machine learning and optimization algorithms; Probability theory, stochastic calculus, and linear algebra applied to quantitative finance; Statistical inference and econometric methods for time series analysis; Partial differential equations and stochastic processes as applied to options pricing and risk modeling; Software construction practices for building stable, precise, and scalable prediction systems, including writing comprehensive tests, avoiding silent failing errors, designing classes that encapsulate data well, maintaining invariants, proper use of inheritance, and avoiding duplication; and Understanding which algorithm to use for various cases, adapting algorithms to complex data formats, and tuning degrees of freedom to the signal-to-noise rations, regularization. How to Apply: Please submit resume online at: