Quantitative Developer

HASHKEY CAPITAL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading financial technology firm in Singapore is looking for a skilled developer to design and maintain low-latency trading systems tailored for digital assets. Candidates should have 6-10 years of development experience, including at least two years in the crypto trading industry, and strong programming skills in C++ or Rust. This role offers the opportunity to collaborate closely with quantitative researchers and optimize trading strategies in a dynamic environment.

Qualifications

• 6-10 years of development experience, with at least 2+ years in the crypto trading industry.
• Strong programming skills in C++ and/or Rust (Python for research and prototyping).
• Proven experience building quant trading systems (market data, execution, risk management).
• Familiarity with exchange APIs, order book structures, and crypto-specific market microstructure.
• Solid understanding of algorithms, data structures, and low-latency/high-performance optimization.
• Experience with distributed systems, cloud computing, and databases.
• Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.

Responsibilities

• Design, build, and maintain low-latency trading systems and infrastructure tailored for digital assets.
• Collaborate with quantitative researchers to implement, backtest, and deploy systematic strategies.
• Develop robust data pipelines and research frameworks to support strategy development.
• Enhance execution algorithms, market data handling, and risk management tools.
• Monitor system performance, debug production issues, and ensure high system availability.
• Continuously optimize code and infrastructure for efficiency and scalability.
• Document development processes and maintain coding best practices across the team.

Skills

Engineering Mathematics

Derivatives

Scalability

Strategy Development

Cloud Computing

Data Structures

Mathematics

Risk Management

Trading Systems

Distributed Systems

Portfolio Management

Python

Databases

Rust

C++

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline

Job description

Roles & Responsibilities

Key Responsibilities

• Design, build, and maintain low-latency trading systems and infrastructure tailored for digital assets.
• Collaborate with quantitative researchers to implement, backtest, and deploy systematic strategies.
• Develop robust data pipelines and research frameworks to support strategy development.
• Enhance execution algorithms, market data handling, and risk management tools.
• Monitor system performance, debug production issues, and ensure high system availability.
• Continuously optimize code and infrastructure for efficiency and scalability.
• Document development processes and maintain coding best practices across the team.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.
• 6-10 years of development experience, with at least 2+ years in the crypto trading industry.
• Strong programming skills in C++ and / or Rust (Python for research and prototyping).
• Proven experience building quant trading systems (market data, execution, risk management).
• Familiarity with exchange APIs, order book structures, and crypto-specific market microstructure.
• Solid understanding of algorithms, data structures, and low-latency / high-performance optimization.
• Experience with distributed systems, cloud computing, and databases.
• Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.

Tell employers what skills you have

• Engineering Mathematics
• Derivatives
• Scalability
• Strategy Development
• Cloud Computing
li>Pipelines
• Data Structures
• Mathematics
• Risk Management
• Trading Systems
• Distributed Systems
• Portfolio Management
• Python
• Databases
• Rust
• C++