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Sr. Python Developer

  • Job type Posted on: May 29, 2026
  • Experience level PALNAR
  • Employment type Mc Lean, Virginia
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Sr. Python Developer

Job Type :

Full-time

Job Location :

Mc Lean Virginia United States

Remote :

No

Jobcon Logo Job Description :

Role and responsibility: Interact with finance team and business side to collect the requirements Design, develop and support software solution for the given requirements within the financial modeling and research area Ensure new code and existing code updates meet standard technology development practices Work with finance team and other developers to facilitate the reconciliation Help customers to understand the result and to properly use the application Assist in the operational execution of software solutions to assist with the monitoring and control of market and credit risks. Educational Qualifications: Master's degree in Computer Science, Software Engineering or related technical field Demonstrated knowledge of: Python, Pandas and other popular Python libraries Java Testing frameworks such as pytest, junit SQL Linux, Docker CI/CD Processes, git Familiar with using IDEs such as intelliJ (for java and/or python) Excel Quantitative Finance (Optional)

Jobcon Logo Position Details

Posted:

May 29, 2026

Reference Number:

14660_9D6B47D93C22A14760E202880B84F150

Employment:

Full-time

Salary:

Not Available

City:

Mc Lean

Job Origin:

APPCAST_CPC

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Role and responsibility: Interact with finance team and business side to collect the requirements Design, develop and support software solution for the given requirements within the financial modeling and research area Ensure new code and existing code updates meet standard technology development practices Work with finance team and other developers to facilitate the reconciliation Help customers to understand the result and to properly use the application Assist in the operational execution of software solutions to assist with the monitoring and control of market and credit risks. Educational Qualifications: Master's degree in Computer Science, Software Engineering or related technical field Demonstrated knowledge of: Python, Pandas and other popular Python libraries Java Testing frameworks such as pytest, junit SQL Linux, Docker CI/CD Processes, git Familiar with using IDEs such as intelliJ (for java and/or python) Excel Quantitative Finance (Optional)

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