Salary
≈ $112k – $234k per year (Estimated)
Location
In office (Nashville)
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Oct 7, 2026.
Overview
Company
Impact
Profile match
Glint Tech Solutions is a women-owned IT staffing and recruiting firm that sources contract and direct-hire talent for enterprise clients, alongside an AI hiring product it markets as Glinto AI. Its postings cover client projects across the United States and Canada, from New York, Sunnyvale, Santa Clara and Reston to Toronto, and some defense roles require an active DoD Secret clearance. Open positions are mostly placements at client companies, including software and DevOps engineers, embedded and field application engineers, product managers, data center cooling sales staff and regulatory reporting analysts.
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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