Financial Analytics Engineer - Python Full-Stack (On-site)

ZipStaff Inc.; McLean (VA); Sur place; USD 120 000 - 150 000; Plein temps

Avantages offerts par ce poste

Health Insurance

Dental Insurance

Vision Insurance

401(k) + 401(k) matching

Paid time off

Referral Program

Résumé du poste

ZipStaff Inc. is seeking a Full-Stack Python Engineer for financial modeling, analytics, and research systems at a leading housing-finance organization in McLean, VA. This is a hands-on, on-site role focusing on Python and web tech, not a data-science or front-end-only position.

You will design, develop, and support analytics systems for market and credit risk, review code, and collaborate with finance researchers to define requirements.

Qualifications

• 5+ years developing analytics software, or a Master’s with 2+ years.
• Bachelor’s or Master’s in CS, SE, or a related field.
• Python with Flask, Dash and data processing with Pandas/NumPy.
• Web apps: HTML, CSS, JavaScript; production code; React is a must-have.
• SQL and relational databases.
• Linux/Unix operating environment.
• 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.

Responsabilités

• 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.

Connaissances

Python

Flask

Dash

Pandas

NumPy

HTML/CSS/JS

SQL

Linux

Quant finance

React

Formation

Bachelor's degree in CS/SE

Master's degree in CS/SE

Outils

React

Flask

Dash

Description du poste

ZipStaff Inc. is seeking a Full-Stack Python Engineer for financial modeling, analytics, and research systems at a leading housing-finance organization in McLean, VA. This is a hands-on, on-site role focusing on Python and web tech, not a data-science or front-end-only position.

You will design, develop, and support analytics systems for market and credit risk, review code, and collaborate with finance researchers to define requirements.