Algorithms Developer

We are partnered with a Private Equity firm that is expanding its rading technology capabilities. They are seeking a highly skilled Algorithms Developer to join their Singapore team.

The role focuses on building performant, production-grade algorithms that power trading and decision-making across diverse and dynamic markets. You will be part of a small, highly focused team

Responsibilities

• Research, design, and implement low-latency, production-grade algorithms for arbitrage and trading strategies.
• Build and optimize high-performance systems to handle large volumes of real-time data.
• Conduct data-driven analysis of markets to uncover inefficiencies and trading opportunities.
• Develop and maintain backtesting frameworks to validate strategies under varied market conditions.
• Profile, benchmark, and tune code for throughput and latency improvements.
• Collaborate with traders and engineers to translate ideas into live strategies quickly and iteratively.
• Contribute to core infrastructure supporting algorithmic trading (distributed systems, monitoring, data pipelines).

Requirements

• Bachelor's degree or higher in Computer Science, Mathematics, Engineering, or a related technical field.
• 4+ years of experience working with algorithms, data structures, and complexity analysis.
• Expert programming skills in at least one of: C++ (preferred), Rust, or Java. Strong Python skills for prototyping and data analysis.
• Experience with low-level optimization (memory management, concurrency, multithreading).
• Proficiency with Linux systems and performance profiling/debugging tools.
• Familiarity with networking protocols and real-time data handling (sockets, TCP/UDP, gRPC).
• Solid understanding of probability, statistics, and numerical methods.
• Prior exposure to high-frequency/low-latency systems, distributed computing, or trading environments is a plus.

Apply now or send your CV to shunki.tan@eamesconsulting. We will reach out if your profile aligns with the requirements.

R22109230