Quant Python Developer – Financial Analytics & Algo Labs

Glint Tech Solutions; Nashville (TN); On-site; USD 110,000 - 160,000; Full time

Job summary

Glint Tech Solutions is seeking a Python Developer (Quant/Data Science) for a Nashville-onsite role focused on building quantitative algorithms and analytics tools for tax-advantaged bond SMA products. You will work on back-end systems integrating with SQL Server/Oracle and REST APIs, supporting advisor-facing analytics.

Ideal candidates have strong Python, OO design, NumPy/Pandas, and solid statistical methods knowledge; relocation-friendly onsite work with potential for growth in a global IT

Qualifications

• 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.

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.

Skills

Python

OOP & Design Patterns

NumPy

Pandas

Linear Algebra

Optimization methods

Tools

SQL Server

Oracle

REST APIs

Microservices

Job description

Glint Tech Solutions is seeking a Python Developer (Quant/Data Science) for a Nashville-onsite role focused on building quantitative algorithms and analytics tools for tax-advantaged bond SMA products. You will work on back-end systems integrating with SQL Server/Oracle and REST APIs, supporting advisor-facing analytics.

Ideal candidates have strong Python, OO design, NumPy/Pandas, and solid statistical methods knowledge; relocation-friendly onsite work with potential for growth in a global IT