Python Developer (Quant/Data Science)
Summary
Onsite Python developer role in Nashville building quantitative algorithms for a financial services client's bond SMA products, plus back-end systems with SQL Server/Oracle, REST APIs, and microservices. Core stack is Python with NumPy/Pandas and strong statistical/optimization skills; Azure/AWS, Docker, and Kubernetes are nice-to-haves.
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