Full-Stack Python Engineer (AI & Analytics Focus)

Blue Ribbon Global Technologies

  • McLean, VA
  • 20 days ago

    Highlights

    Bachelor's degree or foreign equivalent degree in Computer Science, Software Engineering or related technical field and five years of experience developing analytics software applications, Master's degree or foreign equivalent degree in Computer Science, Software Engineering or related technical field and 2 years of experience developing analytics software applications, OR .

    Numbers & Facts

    LocationMcLean, VA

    Description

    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:

    Master's degree or foreign equivalent degree in Computer Science, Software Engineering or related technical field and 2 years of experience developing analytics software applications, OR

    Bachelor's 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 :

    Basic Qualification :

    Additional Skills :

    Background Check : No

    Drug Screen : No

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