Python Developer

Company: DISYS - Digital Intelligence Systems, LLC
Location: Not Specified, Not Specified, United States
Type: Full-time
Posted: 10.AUG.2021
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Overall Responsibilities: * Python library developer. * Creating R libraries to be used as interface between model R code and generic data ...


Overall Responsibilities:

  • Python library developer.
  • Creating R libraries to be used as 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 Quant users and gather feedback on delivered analytical data.
  • Communicate needed changes to development team.
  • Work with QA team on test plan reviews and assist in QA testing process with requirements clarifications and questions.

Functional Responsibilities: Specific tasks include but are not limited to:

  • Work on one of following initiatives within Global Markets Data Analytics group and other projects.
  • 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.
  • Support UAT process.

Required Skills: Technical / Analytical 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 test that, dplyr and sparklyr packages.
  • Software development background preferred and experience working in Agile environment.
  • Comfortable working with UNIX/LINUX environment.
  • Understanding of GIT and/or SVN processes.
  • Previous experience with RESTful API framework.
  • Good understanding of XML and JSON.
  • Good comfort level with relational databases and SQL.
  • Experience creating interface specification documents, attribute mapping documents, functional specifications.
  • Proficiency with MS Excel, MS Word, MS Visio and MS PowerPoint.

Nice to have:

  • 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.
  • Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management.
  • Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities.

Essential Skills

  • Strong verbal and written communication skills
  • Strong analytical and problem solving skills


  • 7-8 years working experience

- provided by Dice

Apply Now


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