R / Python Developer R / Python Developer …

DTG Capital Markets
à Durham, NC, États-Unis
Intérim, Plein-temps
Dernière candidature, 21 juin 21
competitive consulting rate
DTG Capital Markets
à Durham, NC, États-Unis
Intérim, Plein-temps
Dernière candidature, 21 juin 21
competitive consulting rate
Top financial firm seeks strong R / Python financial developer for high paying role on a long term project

Responsibilities:

• Work on initiatives within Global Markets Data Analytics group and other projects
• R / Python library developement
• Create “R” libraries to interface between model “R” code and generic data retrieval API
• Python and pyspark package development
• Communicate and direct model development teams on implementation of statistical models
• Write specifications and documentation for “R” interfaces.
• Interface with Quantitative Analysts and gather feedback on delivered analytical data
• Communicate needed changes to development team
• Liaise with Dev team on defining data structures used in computing modeling
• Liaise with QA team on explaining requirements and assisting with QA testing process
Required Skills:
• Experience with advanced “R” coding including package development
• “R” code optimization and memory management
• Understanding of core R data structures required
• Understanding of Python and PySpark development
• Good understanding of testthat, dplyr and sparklyr packages
• Software development background and experience working in Agile environment
• Comfortable working in UNIX/LINUX environment
• Good understanding of XML and JSON
• Comfortable with relational databases/SQL
• Experience creating interface specification documents, attribute mapping documents, functional specifications
• Proficiency with MS Excel, MS Word, MS Visio and MS PowerPoint
Plusses:
• Experience with Docker, Jenkins, Azure and Openshift
• Experience with open source big data technologies (Hadoop, Hive, Impala, MLLIB, Oozie etc.) for large scale data analysis
• Experience with visualization tools like Tableau
• Experience with RShiny
• Knowledge of regression techniques for modeling the relationship between an output variable and several input variables
• Knowledge of Fixed Income or Equities products, Derivatives, FX, Cash Equities
 

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