Senior Quantitative Developer - Algorithmic Trading

Placements24

Kimberley

Hybrid

CAD 150,000 - 220,000

Full time

7 days ago
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Job summary

Placements24 is seeking a Senior Quantitative Developer to join a fully remote team, delivering low-latency trading systems and production-grade software for algorithmic finance. You will work with world-class quants to translate complex models into robust code in a distributed environment.

The ideal candidate has 7+ years in software development focused on quantitative finance or HFT, with deep C++ and Python skills, and a proven ability to ship in a fast-paced, remote setting.

Qualifications

  • Master's or PhD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field.
  • Minimum of 7 years of professional experience in software development, with a strong focus on quantitative finance or high-frequency trading.
  • Expert proficiency in C++ and Python programming languages.
  • Deep understanding of data structures, algorithms, and object-oriented design principles.
  • Experience with real-time systems, low-latency programming, and performance optimization.
  • Familiarity with financial markets, trading concepts, and derivative pricing is essential.
  • Experience with distributed systems, parallel computing, and message queuing technologies.
  • Excellent problem-solving and debugging skills.
  • Strong communication skills, especially in a remote work setting.
  • Proven ability to work independently and manage complex projects with minimal supervision.

Responsibilities

  • Design, develop, test, and deploy low-latency, high-frequency trading algorithms and systems.
  • Collaborate closely with quantitative researchers to implement and optimize trading strategies.
  • Develop and maintain robust data pipelines and analytical tools for back-testing and performance analysis.
  • Optimize code for performance, scalability, and reliability in a distributed computing environment.
  • Contribute to the architectural design and evolution of the firm's trading infrastructure.
  • Troubleshoot and resolve issues in production trading systems.
  • Research and implement new technologies and methodologies to enhance trading capabilities.
  • Ensure adherence to best practices in software development, including code reviews, unit testing, and CI/CD.
  • Mentor junior developers and contribute to the team's technical growth.

Skills

C++
Python
Data structures
Algorithms
OO design
Low-latency
Remote work

Education

Master's or PhD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field

Tools

CI/CD
Messaging queues
Distributed computing

Job description

About the Role

Our client, a leading quantitative trading firm renowned for its innovative strategies, is seeking an exceptional Senior Quantitative Developer to join their fully remote team. This is a unique opportunity to work at the forefront of algorithmic trading, designing, developing, and implementing high-performance trading systems and strategies. You will collaborate with world-class quants and researchers to translate complex mathematical models into robust, production-ready code. This role requires a deep understanding of financial markets, a passion for technology, and a proven ability to deliver complex software solutions in a fast-paced, collaborative, and entirely remote environment. This position is ideal for a seasoned developer looking to make a significant impact in the Banking & Finance sector from anywhere.

Key Responsibilities
  • Design, develop, test, and deploy low-latency, high-frequency trading algorithms and systems.
  • Collaborate closely with quantitative researchers to implement and optimize trading strategies.
  • Develop and maintain robust data pipelines and analytical tools for back-testing and performance analysis.
  • Optimize code for performance, scalability, and reliability in a distributed computing environment.
  • Contribute to the architectural design and evolution of the firm's trading infrastructure.
  • Troubleshoot and resolve issues in production trading systems.
  • Research and implement new technologies and methodologies to enhance trading capabilities.
  • Ensure adherence to best practices in software development, including code reviews, unit testing, and CI/CD.
  • Mentor junior developers and contribute to the team's technical growth.
Requirements
  • Master's or PhD in Computer Science, Electrical Engineering, Mathematics, or a related quantitative field.
  • Minimum of 7 years of professional experience in software development, with a strong focus on quantitative finance or high-frequency trading.
  • Expert proficiency in C++ and Python programming languages.
  • Deep understanding of data structures, algorithms, and object-oriented design principles.
  • Experience with real-time systems, low-latency programming, and performance optimization.
  • Familiarity with financial markets, trading concepts, and derivative pricing is essential.
  • Experience with distributed systems, parallel computing, and message queuing technologies.
  • Excellent problem-solving and debugging skills.
  • Strong communication skills, especially in a remote work setting.
  • Proven ability to work independently and manage complex projects with minimal supervision.
Benefits

Our client offers an industry-leading compensation package, including a highly competitive base salary, significant performance bonuses, and potential equity participation. The role is fully remote, offering unparalleled flexibility and the freedom to work from any location. We provide a comprehensive benefits package, including top-tier health insurance, retirement planning support, and generous paid time off. Continuous learning and professional development are highly valued, with access to cutting-edge resources and opportunities to attend leading industry conferences. You will work with a globally distributed, highly talented team on challenging and impactful projects. This is a rare opportunity to shape the future of algorithmic trading with a forward-thinking company.

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