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Full-Stack Python Engineer
Job Location:
Job Location:
McLean, MD - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
7 October 2026 (10 hours ago)
Posted:
Application Deadline:
4 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Full-Stack Python Engineer (AI & Analytics Focus)
Must Have Qualifications:Must have practical experience with Python front end technologies React JavaScript and web application development along with the capability to write effective code. Ideal candidates should have 3-7 years of relevant experience. Experience or background in fixed income account or capital markets is a plus. AI experience including using LLMs to build agentic applications is a plus
Schedule: Standard
Shortlisting Deadline: October 9th
Interview Information:
Rounds: 1 round
Duration: 60 mins
Interview Type: In Person
Interview Placeholders: Targeting week of Oct 12th
Tentative Interview Debrief: October 14th- w/ suppliers
Job Description:
Role and responsibility:
Design develop and support systems within the financial modeling analytics and research area.
Design and develop new code and review existing code changes to ensure standard technology development practices are met.
Assist in the operational execution of software solutions to assist with the monitoring and control of market and credit risks.
Assist with application development and modifying and/or maintaining applications; Demonstrate knowledge of development tools and languages.
Assist other areas of financial research and engineering when defining requirements for systems applications. Other duties as assigned.
Minimum Requirements:
Masters degree or foreign equivalent degree in Computer Science Software Engineering or related technical field and 2 years of experience developing analytics software applications OR
Bachelors degree or foreign equivalent degree in Computer Science Software Engineering or related technical field and five years of experience developing analytics software applications
Demonstrated knowledge of:
quantitative finance
Python
Python web technologies e.g. Flask Dash
Python data processing technologies e.g. Pandas NumPy
Solid understanding on web applications e.g. HTML CSS JavaScript
Solid understanding on DB and SQL
Linux/Unix OS
Preferred experience:
AI Agentic programing
JavaScript framework: jquery data table react
front-end design CSS tailwind
cloud technology Google Kubeflow AWS
Mortgage or GSE experience
R Java C C SAS
Must Have Qualifications:Must have practical experience with Python front end technologies React JavaScript and web application development along with the capability to write effective code. Ideal candidates should have 3-7 years of relevant experience. Experience or background in fixed income account or capital markets is a plus. AI experience including using LLMs to build agentic applications is a plus
Schedule: Standard
Shortlisting Deadline: October 9th
Interview Information:
Rounds: 1 round
Duration: 60 mins
Interview Type: In Person
Interview Placeholders: Targeting week of Oct 12th
Tentative Interview Debrief: October 14th- w/ suppliers
Job Description:
Role and responsibility:
Design develop and support systems within the financial modeling analytics and research area.
Design and develop new code and review existing code changes to ensure standard technology development practices are met.
Assist in the operational execution of software solutions to assist with the monitoring and control of market and credit risks.
Assist with application development and modifying and/or maintaining applications; Demonstrate knowledge of development tools and languages.
Assist other areas of financial research and engineering when defining requirements for systems applications. Other duties as assigned.
Minimum Requirements:
Masters degree or foreign equivalent degree in Computer Science Software Engineering or related technical field and 2 years of experience developing analytics software applications OR
Bachelors degree or foreign equivalent degree in Computer Science Software Engineering or related technical field and five years of experience developing analytics software applications
Demonstrated knowledge of:
quantitative finance
Python
Python web technologies e.g. Flask Dash
Python data processing technologies e.g. Pandas NumPy
Solid understanding on web applications e.g. HTML CSS JavaScript
Solid understanding on DB and SQL
Linux/Unix OS
Preferred experience:
AI Agentic programing
JavaScript framework: jquery data table react
front-end design CSS tailwind
cloud technology Google Kubeflow AWS
Mortgage or GSE experience
R Java C C SAS
Required Skills:
PYTHONJAVAHTMLCSSJQUERYJAVASCRIPT
