Data Engineer - Agorithmic Hedge Fund (PW)

MRINetwork, Austin, TX (United States)

Category: Programming

Posted on: 20 Nov 2020

API Docker Hadoop Java Load Balancing Python SQL

Job Description

About the Role

 

Our firm is looking for a data engineer to join our quantitative development team to partner with Equities Statistical Arbitrage trading team. Data drives systematic trading and is critical to all aspects of the firm's business. This is a hands-on position with significant growth potential. The firm is looking for outstanding technical skills, strong attention to detail, and experience with both systems development and data modeling.

 

Responsibilities

    Communicate with quantitative researchers and other end-users to understand their requirements and potential future requestsInvestigate vendor data thoroughly to become a subject matter expert on its characteristics and irregularitiesDevelop ETL processing components using cutting edge technologies, and write robust tests for on-going quality controlSupport developed transformations and ETL frameworks in production trading as well as backtest researchBuild flexible data API components in iterations with research peers to ensure their needs are metOptimize data IO and load balancing for distributed grid computationAnalyze a variety of large data sets to develop and implement alpha signals

Requirements

    Strong programming skills, preference for Python, Java is a plusExperience with the scientific Python stack, Numpy, Scipy, Pandas, MatplotlibAbility to find practical solutions and successfully make trade-offs between long-term goals and short-term deliverablesProficient with SQL, experience with Postgres is a plusExperience with Hadoop, Spark, and Docker is a plus

Preferred Education and Experience

    Computer Science/Math or similar degree2-5 years of professional experience, ideally exposure to work with complex data sets and all stages of cleaning, preparing data to be used in specific format

 

 


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Job Source: Ziprecruiter (Will expire by: 2021-01-04 00:00:00)

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