Full-Stack Python Engineer — Financial Analytics
Compensation
$62 – $64 /hr
Employment type
Full-time
Work setting
On-site
Location
McLean, VA
Schedule
Day shift
Posted
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Job overview
The Full-Stack Python Engineer — Financial Analytics role is onsite in McLean, VA, and pays $62–$64 per hour. The contract is W-2 through ZipStaff, with no C2C or 1099; the role supports financial modeling, analytics, and research systems at a housing-finance organization. The engineer builds and supports production applications used to monitor and control market and credit risk. The role connects software engineering with financial research by developing analytics systems, maintaining applications, and helping define requirements with research and engineering partners.
What you'll do
- Design, develop, and support financial modeling, analytics, and research systems
- write and review production code
- support software operations for market and credit risk monitoring
- modify and maintain analytics applications
- help financial research and engineering define application requirements.
What we're looking for
- Skills & competencies
- full-stack python engineerfinancial analyticspythonflaskdashpandasnumpyreactquantitative financemclean va$62–$64/hrw-2 contract
- Work arrangement
- Weekend coverage required
Benefits & perks
- Health, dental, and vision insurance
- 401(k) with matching
- paid time off
- referral program.
Why this role
Requires Python, Flask or Dash, Pandas, NumPy, web technologies including React, SQL, Linux/Unix, quantitative finance knowledge, and relevant experience or a qualifying master’s degree and experience. Must be authorized to work in the United States without sponsorship.
About the employer
ZipStaff Inc. is hiring for this role. Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services. Sector: 51.
Additional details
- Industry sector
- 51
- Industry
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
- Occupation code
- 15-1252.00
You'll be redirected to the employer's application page.
Listing ID: f65dbbab-2d78-4f30-9201-91bec5dd649d