Vice President, Full-Stack Engineer

Archer; New York (NY); On-site; USD 200,000 - 260,000; Full time

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

PySpark

Java

SQL

Linux

PowerShell

CI/CD

Automation

AI/ML

Education

Bachelor's or Master's in CS/Engineering

Tools

SQL Server

Oracle

MongoDB

Quant Model

Job description

Archer is collaborating with BNY to connect them with exceptional professionals for this role.
We’re seeking a future team member for the role of Vice President Full Stack Engineer to join our Engineering team. This role is located in US
In this role, you’ll make an impact in the following ways:

• 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 to ensure 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
  

To be successful in this role, we’re seeking the following:

• Bachelor's or master's degree in computer science, Engineering, or related discipline
• Strong hands-on experience in Python,PySpark with Java
• Experience with SQL Server, Oracle, and MongoDB
• Proficiency in Linux (Shell scripting) and Windows (PowerShell)
• Experience in CI/CD, integration, workflow orchestration, and test automation
• Strong knowledge of core financial risk concepts and developer workflows, including market risk and counterparty risk, VaR/SVaR, sensitivities, stress testing, PnL, pricing and exposure measures across fixed income, cash equity, FX, and derivatives.
• Strong understanding of fixed income instruments such as government bonds, corporate bonds, municipal bonds, callable bonds, asset-backed securities, and MBS, as well as cash equities.
• Experience working with financial risk platforms and integrations, including Quant Model, with expertise in upstream source onboarding, market data discovery and sourcing, security master and reference data onboarding, price ingestion and validation, data quality controls, reconciliation, workflow orchestration, issue triage, and support for audit, controls, and production resiliency.
• Strong understanding of solution architecture and design, with emphasis on implementing secure, controlled environments incorporating IT controls, including vulnerability management, security best practices, and compliance frameworks.
• Exposure to AI/ML, agentic workflows, and automation-first engineering mindset
  

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is all about. Join us and be part of something extraordinary.