VP, Algorithmic Trading Systems Architect

Citibank (Switzerland) AG; Jersey City (NJ); Hybrid; Confidential; Full time

Job summary

Citi is seeking an Algorithmic Trading Developer (VP) to design and optimize our core low-latency execution platform within the Equities Electronic Trading team in Jersey City, NJ.

You will lead the development of high-performance, low-latency microservices and trading logic, collaborating with product, quantitative researchers, and other technology teams to deliver new capabilities while ensuring best execution and system reliability.

Qualifications

• Experience designing automated trading systems in Equities or similar financial domains (e.g., smart order routing, benchmark algorithms).
• Strong knowledge of FIX protocol and handling market data.

Responsibilities

• Lead design, development, and optimization of high-performance, low-latency microservices and trading infrastructure.
• Implement and enhance complex trading logic and execution strategies for best execution and stability.
• Conduct design reviews, ensure coding standards, performance, and architectural integrity.
• Collaborate with product, quant researchers, and tech teams to deliver new trading capabilities.
• Drive CI/CD, testing improvements, and deployment practices for low-latency environments.
• Address technical challenges by analyzing requirements, data flows, and industry best practices.

Skills

Java

Low-latency systems

JVM internals

Concurrency

Garbage collection

Memory management

Equities trading systems

Microservices

CI/CD

Testing frameworks

Agile

Communication

Education

Bachelor’s degree

Master’s degree preferred

Tools

Solace

AMPS

Chronicle

KDB+

Ansible

Rust

Job description

Citi is seeking an Algorithmic Trading Developer (VP) to design and optimize our core low-latency execution platform within the Equities Electronic Trading team in Jersey City, NJ.

You will lead the development of high-performance, low-latency microservices and trading logic, collaborating with product, quantitative researchers, and other technology teams to deliver new capabilities while ensuring best execution and system reliability.