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Glint Tech Solutions LLC

Python Developer (Quant/Data Science)

Glint Tech Solutions LLC Nashville, Tennessee, United States

IT Services and IT Consulting · 11-50 employees

5 h ago
python Senior (5-10 yrs) Full-time United States
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About the role

Develop and refine Python-based quantitative algorithms to support financial applications and tax-advantaged bond products. Integrate back-end systems with databases and APIs while applying statistical methods to optimize financial performance.

What they look for

Python SQL Server Oracle REST APIs Microservices NumPy Pandas Linear algebra Optimization methods OOP Design patterns C# Azure Kubernetes Data Factory Docker

Requirements

Requires strong Python programming skills with a focus on back-end development, OOP, and design patterns. Candidates must possess quantitative and statistical expertise, including experience with SQL Server, Oracle, and various data analysis libraries.

Full description

Job Title: Python Developer (Quant/Data Science)

Location: Nashville, TN (Onsite – Open to Relocation)

Company Overview

Glint Tech Solutions is a woman-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.

Project Description

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).

Key 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

Mandatory Skills

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

Nice-to-Have Skills

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

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