Python Developer (Quant/Data Science)

Glint Tech SolutionsNashville, TN
Onsite

About The Position

Our client, a leading enterprise financial services firm, is seeking a Python Developer to build quant algorithms supporting tax-advantaged taxable bond SMA products and related advisor-facing analytics tools (automated transition analysis, proposal generation, trade rationales, and transition scorecards).

Requirements

  • Strong Python programming, back-end focused OOP and design pattern fundamentals
  • Experience with SQL Server, Oracle, REST APIs, microservices
  • Strong quantitative/statistical skills; NumPy, Pandas, linear algebra, optimization methods

Nice To Haves

  • C# a plus
  • Azure (CI/CD, Kubernetes, Data Factory, Docker) or AWS equivalent
  • Parallel programming/multiprocessing/cloud experience

Responsibilities

  • Develop and refine Python-based quant algorithms for financial applications
  • Build back-end systems integrating with SQL Server/Oracle, REST APIs, and microservices
  • Apply statistical and mathematical methods to optimize financial algorithms
  • Support SDLC activities including testing, deployment, and performance optimization
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