Senior Python Developer

Job Title: Senior Python Developer Experience: 10+ Years Location: NC/TX (Onsite) Work type: C2C Visa Type: and , H1B,-EAD   Job Summary: We are seeking an experienced Senior Python Developer with 10+ years of expertise in building scalable and high-performance applications. The ideal candidate should have strong experience in backend development, APIs, and cloud technologies.   Roles & Responsibilities: Design, develop, and optimize Python-based analytics platforms supporting portfolio performance, risk, and attribution calculations. Build and enhance calculation engines and batch processing pipelines for analyzing equity and fixed income portfolios. Work with large-scale financial and time-series datasets, ensuring high levels of accuracy, performance, and auditability. Collaborate closely with quantitative analysts and investment teams to translate complex financial models into scalable, production-ready Python solutions. Maintain and support applications in Linux and cloud environments, ensuring reliability, scalability, and efficiency. Implement best practices in software development, including unit testing, code optimization, and maintainability. Continuously improve system performance and enhance analytics frameworks to meet evolving business needs.   Required Qualifications: Bachelor’s or Master’s degree in a quantitative or computational field such as: Computer Science Applied Mathematics Statistics Financial Engineering / Financial Mathematics 5+ years of hands-on experience in Python development, preferably in analytics, data engineering, or quantitative domains. Strong expertise in: Python (NumPy, Pandas, SciPy) SQL for data analysis and querying Linux/Unix environments Shell scripting for automation Proven experience in designing and implementing computationally intensive systems for financial or data-driven applications. Solid understanding of software engineering principles, including: Modular design Version control (Git) Testing frameworks Performance tuning Strong communication skills with the ability to work effectively with cross-functional teams including quantitative researchers and business stakeholders. Demonstrated interest in financial markets, data analytics, and quantitative problem-solving.  Key Skills (Highlights): Python (NumPy, Pandas, SciPy) Financial Analytics & Quantitative Modeling SQL & Data Analysis Linux / Unix & Shell Scripting Performance Optimization & Scalable Systems Time-Series Data Processing Cloud & Batch Processing Pipelines Software Engineering Best Practices We offer a professional work environment and are given every opportunity to grow in the Information technology world.  Note: Candidates are required to attend Phone/Video Call / In-person interviews and after Selection of candidate (He/She) should go through all background checks on Education and Experience. Please email your resume to: / Contact No: / After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps.