Python Developer (Quant/Data Science)

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

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