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Quantitative Researcher

JUMP OPERATIONS, LLC

NEW YORK, NYJob$250–300K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$250–300K/yr
Location
NEW YORK, NY
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Quantitative Researcher conducts research to model and forecast returns across global options products and builds trading and research tools. The role evaluates market signals and predictive models, investigates live-strategy problems, and develops mathematical models and software infrastructure. It also involves market microstructure research and maintaining distributed pipelines for parallel model training and evaluation.

Skills & qualifications

RequiredNice to have

Skills

C++ DevelopmentPython DevelopmentLinuxMachine Learning AlgorithmsOptimization AlgorithmsProbability TheoryStochastic CalculusLinear AlgebraQuantitative FinanceStatistical InferenceEconometric MethodsTime Series AnalysisPartial Differential EquationsStochastic ProcessesOptions PricingRisk ModelingSoftware ConstructionPrediction SystemsAlgorithm SelectionAlgorithm AdaptationAlgorithm Tuning

Qualifications

Bachelor's in Mathematics, Computer Science, or Related Quantitative Field

Full job description

Quantitative ResearcherJump Operations, LLC | New York, NYJob 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 AllowedSalary: $250,000 to $300,000 per yearMinimum Requirements: Bachelors 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: https://www.jumptrading.com/careers or via email to [email protected]. Must specify Ad Code MDNM.

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