VP, Software Engineering - Treasury Liquidity Tech

The Goldman Sachs Group; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Goldman Sachs is seeking world class software engineers to join Corporate Treasury Engineering in New York. You will help improve liquidity projections, optimize cash and collateral management, and support funds transfer pricing and execution strategy.

You will work on a front‑to‑back integrated team building scalable data architectures, risk analytics, and automated tools to enable better decision making and reduced interest expenses. Strong collaboration with traders and partners is essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline.
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Responsibilities

• Use engineering to identify and measure risk and implement quantitative and technical risk management solutions in software.
• Forge strong relationships with key business partners, understand financial markets and liquidity management strategies to develop and enhance treasury systems and processes.
• Apply analytics to drive commercial outcomes and communicate with precision and clarity.
• Understand business needs, facilitate and develop process workflows, data requirements, and specifications required to support implementation.
• Develop scalable architecture and implement software following the full SDLC cycle.
• Explore latest technology offerings and platforms to strategize and build optimum technology solutions.
• Work very closely with business to create real‑time impact and deliver products with the most commercial value.

Skills

Software development

Data structures

Algorithms

Distributed systems

Communication

SecDB/Slang

Java

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, Electrical Engineering or related technical discipline

Tools

SecDB

Slang

Job description

Goldman Sachs is seeking world class software engineers to join Corporate Treasury Engineering in New York. You will help improve liquidity projections, optimize cash and collateral management, and support funds transfer pricing and execution strategy.

You will work on a front‑to‑back integrated team building scalable data architectures, risk analytics, and automated tools to enable better decision making and reduced interest expenses. Strong collaboration with traders and partners is essential.