Low-Latency Algo Trading Engineer

RMB - Rand Merchant Bank; Johannesburg; On-site; ZAR 1,800,000 - 2,800,000; Full time

Job summary

Rand Merchant Bank is seeking an Algorithmic Trading Developer in Johannesburg to design and build low-latency trading and pricing platforms across FX, FI, Commodities and Equities.

You will work with Traders, Quants and Tech teams to translate strategies into scalable solutions, ensure production readiness, and continuously improve performance and reliability of electronic trading systems.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Quantitative Finance or related field.
• Minimum 8+ years in software engineering or electronic trading technology environments.
• Proven experience delivering enterprise Java applications in production settings.

Responsibilities

• Design, develop, test and support high-performance algorithmic trading platforms across multiple asset classes.
• Develop low-latency, high-throughput trading applications for real-time data and execution workflows.
• Translate trading strategies and pricing models into scalable technology solutions.
• Implement smart order routing, execution algorithms and market-making logic.
• Contribute to observability, resilience and production readiness of trading systems.

Skills

Java development

Low-latency systems

Distributed architectures

Performance tuning

DevOps / CI/CD

Trader collaboration

Education

Bachelor’s degree in Computer Science, Engineering or Quantitative Finance

ACI Dealing Certificate

Tools

Spring Boot

Maven/Gradle

RESTful APIs

JVM tuning

Event-driven architecture

Job description

Rand Merchant Bank is seeking an Algorithmic Trading Developer in Johannesburg to design and build low-latency trading and pricing platforms across FX, FI, Commodities and Equities.

You will work with Traders, Quants and Tech teams to translate strategies into scalable solutions, ensure production readiness, and continuously improve performance and reliability of electronic trading systems.