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Python Developer – Capital Markets - Alpharetta, GA; Onsite

Job in Roswell, Fulton County, Georgia, 30076, USA
Listing for: Data Freelance Hub
Contract position
Listed on 2026-01-16
Job specializations:
  • Software Development
    Python, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Python Developer – Capital Markets - Alpharetta, GA (Onsite)

⭐ - Featured Role | Apply direct with Data Freelance Hub

This role is for a “Python Developer – Capital Markets” in Alpharetta, GA, offering a 9‑12 month contract at an expected pay rate on 1099/C2C. Key skills include Python application development for trading, risk analytics, and regulatory reporting.

Location:

Alpharetta, GA (On-site)

Contract:

9‑12 months, 1099 Contractor

Job Summary

The Python Developer – Capital Markets will design, develop and maintain high‑performance Python applications supporting trading, pricing, risk analytics and regulatory reporting platforms. This role focuses on building scalable, reusable, and optimized solutions for investment banking and capital markets systems while ensuring performance, reliability, and maintainability.

Must Have Technical/Functional Skills
  • Design and develop robust Python applications for trading and pricing platforms
  • Design and develop robust Python applications for risk calculation engines
  • Design and develop robust Python applications for market data processing
  • Design and develop robust Python applications for P&L and valuation workflows
  • Write clean, maintainable, high‑performance code using Python best practices dictating
  • Develop reusable libraries and frameworks for cross‑team consumption
Roles & Responsibilities
  • Application development and engineering of high-performance Python applications supporting Investment Banking and Capital Markets platforms
  • Build scalable, reusable, and well‑tested Python modules for trading systems
  • Build scalable, reusable, and well‑tested Python modules for risk analytics
  • Build scalable, reusable, and well‑tested Python modules步 for pricing and valuation engines
  • Build scalable, reusable, and well‑tested Python modules for P&L and regulatory reporting
  • Apply object‑oriented and functional programming principles to deliver maintainable solutions
  • Optimize Python code for performance, latency, and memory usage
Additional Information

All your information will be kept confidential according to EEO guidelines.

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