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.