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Job Title: Full-Stack Python Engineer – Financial Analytics
Location: McLean, VA (On-site)
Employment Type: Contract (W2 through ZipStaff — No C2C or 1099)

About the Opportunity

ZipStaff is seeking a Full-Stack Python Engineer for financial modeling, analytics, and research systems at a leading housing-finance organization.

You will build and support applications used to monitor market and credit risk. This is a hands-on Python and web seat — not a data-science research role and not a front-end-only role.

What You’ll Do:

Design, develop, and support systems in financial modeling, analytics, and research.
Write new code and review changes against standard engineering practices.
Support operational execution of software used to monitor and control market and credit risk.
Modify and maintain analytics applications.
Help financial research and engineering define application requirements.

Required Qualifications:

5+ years developing analytics software applications, or a Master’s in Computer Science, Software Engineering, or a related field with 2+ years.
Bachelor’s or Master’s in Computer Science, Software Engineering, or a related technical field.
Practical Python, including web technologies (Flask, Dash) and data processing (Pandas, NumPy).
Web applications: HTML, CSS, JavaScript, and the ability to write production code (React is in the must-have line).
SQL and relational databases.
Linux / Unix.
Demonstrated knowledge of quantitative finance.
Ability to work on-site in McLean, VA.
Must be legally authorized to work in the United States without sponsorship now or in the future.

Preferred Qualifications:

AI experience, including LLMs used to build agentic applications.
JavaScript frameworks (jQuery, DataTables, React) and front-end design (CSS, Tailwind).
Cloud: Google Kubeflow or AWS.
Fixed income, accounting, or capital markets.
Mortgage or housing-finance (GSE) experience.
R, Java, C, C++, or SAS.

Benefits:

Health Insurance.
Dental Insurance.
Vision Insurance.
401(k) + 401(k) matching.
Paid time off.
Referral Program.

About ZipStaff:

ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches, clear communication, and long-term success for candidates and clients.

To apply, submit your resume highlighting Python analytics applications you built (Flask or Dash, Pandas), a web front end you shipped, and any quantitative-finance or risk context. Script-only or notebook-only backgrounds will not be considered.

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