VP, Full-Stack Engineer: AI-Driven Risk Platform

Archer; New York (NY); Presencial; USD 200.000 - 260.000; Jornada completa

Descripción de la vacante

Archer, in collaboration with BNY, seeks a Vice President Full Stack Engineer to join our Engineering team in the United States. The role focuses on designing Python-based risk integration and data processing solutions, building end-to-end risk workflows, and advancing automation and testing frameworks.

You will work with SQL Server, Oracle, and MongoDB, navigate Linux and PowerShell environments, and implement CI/CD pipelines while applying AI/agentic workflow concepts to improve efficiency and

Formación

• Bachelor's or master's degree in computer science, engineering, or related discipline.
• Hands-on experience with Python, PySpark and Java.
• Experience with SQL Server, Oracle and MongoDB.
• Proficiency in Linux (Shell) and Windows (PowerShell).
• Experience in CI/CD, workflow orchestration, and test automation.
• Strong understanding of financial risk concepts and developer workflows across asset classes.

Responsabilidades

• Design and develop Python-based solutions for risk integration, orchestration, and data processing.
• Build and manage end-to-end risk workflows including trade ingestion, compute, aggregation, and reporting.
• Develop and maintain test harness, regression frameworks, and quality engineering standards.
• Optimize data pipelines and compute frameworks for performance, scalability, and reliability.
• Implement CI/CD pipelines and automate engineering tasks using Python, Shell, and PowerShell.
• Apply AI and agentic workflow concepts to improve automation and operational efficiency.

Conocimientos

Python

PySpark

Java

SQL

Linux

PowerShell

CI/CD

Automation

AI/ML

Educación

Bachelor's or Master's in CS/Engineering

Herramientas

SQL Server

Oracle

MongoDB

Quant Model

Descripción del empleo

Archer, in collaboration with BNY, seeks a Vice President Full Stack Engineer to join our Engineering team in the United States. The role focuses on designing Python-based risk integration and data processing solutions, building end-to-end risk workflows, and advancing automation and testing frameworks.

You will work with SQL Server, Oracle, and MongoDB, navigate Linux and PowerShell environments, and implement CI/CD pipelines while applying AI/agentic workflow concepts to improve efficiency and