Advancing market efficiency through superior infrastructure

We seek an exceptional quantitative researcher to join our team of scientists and inventors pushing the frontiers of quantitative finance. In this role, you will conduct pioneering research to develop new statistical, mathematical and machine learning techniques for modeling financial markets.

Responsibilities include:

Researching and developing innovative quantitative trading strategies using advanced stochastic modeling, time-series analysis, AI and other cutting-edge techniques

Conducting rigorous backtesting to validate new models and strategies

Closely collaborating with our developers to implement models in production trading systems

Continuously monitoring market data and optimizing systems to enhance performance

Remaining on the forefront of emerging techniques in quantitative finance

Communicating research and models clearly to team members

Requirements:

Doctorate in Mathematics, Statistics, Computer Science or related quantitative field

Strong academic background in quantitative modeling, stochastic analysis, and time-series

Excellent statistical programming skills (Python, R, C++ preferred)

Meticulous attention to detail and strong problem-solving ability

Passion for quant methodology breakthroughs and discoveries

As an Operations Manager at our High-Frequency Trading (HFT) Infrastructure Vendor firm, you will oversee the operational aspects of our infrastructure solutions, ensuring they meet the high-speed, high-efficiency demands of HFT clients. This role requires a balance of technical knowledge, managerial skills, and a deep understanding of HFT infrastructure requirements.

Key Responsibilities:

Lead the operations team in managing and optimizing HFT infrastructure services, including network solutions, server management, and data storage.

Develop and implement operational strategies to enhance service delivery and infrastructure reliability for HFT clients.

Coordinate with technical teams to ensure infrastructure solutions are aligned with client needs and industry standards.

Manage client relationships, ensuring high levels of satisfaction and addressing any operational concerns or requirements.

Oversee the deployment of new infrastructure projects and ensure seamless integration with client systems.

Monitor industry trends and advancements in HFT technology to guide operational improvements and innovations.

Ensure compliance with relevant regulations and standards in the operation and maintenance of HFT infrastructure.

Manage budgets, resource allocation, and scheduling within the operations department.

Provide leadership and guidance to the operations team, fostering a culture of excellence and continuous improvement.

Qualifications:

Bachelor’s or Master’s degree in Business Administration, Management, Computer Science, or a related field.

Minimum of 5 years of experience in operations, with specific experience in technology or HFT infrastructure environments.

Proven leadership skills and experience managing technical teams.

Strong understanding of HFT systems, network architecture, and low-latency technologies.

Excellent problem-solving, organizational, and project management skills.

Ability to work effectively in a dynamic, fast-paced environment.

Strong communication skills and proficiency in client relationship management.

Experience in budget management and resource planning.

This role is critical in ensuring that our HFT infrastructure services are delivered efficiently and effectively, supporting our position as a leading vendor in the HFT space.

We are seeking a skilled Performance Software Engineer to join our team, focusing on optimizing hardware latency for signal processing in a High-Frequency Trading (HFT) environment. The ideal candidate will have a strong background in software engineering, with specialized skills in hardware performance tuning and low-latency systems.

Key Responsibilities:

Develop and optimize software to enhance the performance of hardware systems used in signal processing, with a focus on reducing latency.

Conduct in-depth analysis and troubleshooting of hardware and software interactions to identify bottlenecks and optimize system performance.

Collaborate with hardware engineers to design and implement solutions for latency reduction in signal processing systems.

Implement real-time processing techniques and optimize algorithms to improve the speed and efficiency of signal processing.

Stay abreast of the latest advancements in hardware and software technologies relevant to HFT and signal processing.

Work closely with the operations and infrastructure teams to integrate and deploy optimized solutions in a live trading environment.

Conduct rigorous testing and validation of software changes to ensure stability and performance gains.

Document software changes and system enhancements for internal knowledge sharing and compliance purposes.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.

Minimum of 5 years of experience in software development, with a focus on performance optimization and low-latency systems.

Proficient in programming languages such as C++, Java, or Python, with a strong understanding of hardware-level optimization techniques.

Experience with real-time signal processing and algorithm optimization.

Familiarity with HFT systems and the unique challenges of latency-sensitive environments.

Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.

Excellent communication skills and attention to detail.

This role is crucial for enhancing our firm's competitive edge in HFT by ensuring our hardware systems process signals with the lowest possible latency.

We are seeking a highly skilled Site Reliability Engineer to join our global team, responsible for maintaining the reliability and performance of our antenna systems and associated software in Chicago, London, Frankfurt, and Tokyo. This role is critical in ensuring high availability and optimal functioning of our infrastructure for High-Frequency Trading (HFT) operations.

Key Responsibilities:

Oversee the maintenance and reliability of antenna systems and trading software across multiple sites (Chicago, London, Frankfurt, Tokyo).

Implement and maintain monitoring and alerting systems to ensure high uptime and quick resolution of issues.

Perform regular system upgrades, patches, and maintenance activities while minimizing impact on trading operations.

Troubleshoot and resolve hardware, software, and network issues in a timely manner.

Collaborate with engineering teams to optimize system performance and implement redundancy strategies.

Document and refine maintenance procedures and best practices for site reliability.

Provide on-site and remote support, including occasional off-hours and weekend work to manage system upgrades and respond to emergencies.

Work closely with local and international teams to ensure cohesive operation and maintenance strategies across all locations.

Qualifications:

Bachelor’s degree in Computer Science, Engineering, or related technical field.

Minimum of 5 years of experience in site reliability engineering or a related field, with a focus on antenna systems or telecommunications infrastructure.

Proficiency in managing and troubleshooting complex hardware and software systems.

Experience with networking, server administration, and cloud-based technologies.

Strong problem-solving skills and the ability to work under pressure in a fast-paced environment.

Excellent communication skills and the ability to collaborate effectively with global teams.

Willingness to travel occasionally to different sites for maintenance and coordination activities.

Familiarity with the unique requirements of HFT environments is highly desirable.

This position offers the opportunity to work in a dynamic and technically challenging environment, playing a key role in maintaining the operational excellence of our HFT infrastructure across major financial centers.

- New York
- Chicago
- Frankfurt
- London
- Tokyo