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Python Engineer

at Qube

Back to all Python jobs
Qube logo
Hedge Funds

Python Engineer

at Qube

Mid LevelNo visa sponsorshipPython

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Collaborate with engineers and quantitative researchers to optimize low-latency trading strategies by designing tools and monitoring solutions for high-performance data pipelines. Build tools to collect and aggregate data from in-house trading systems, integrate and process network packet captures, and implement anomaly detection for network and OS metrics. Requires strong Python and shell scripting skills, data/time-series analysis experience, and familiarity with TCP/IP, Linux internals, and fundamental C/C++ knowledge. Opportunity to learn trading technology and grow into a subject-matter expert impacting trading performance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in various liquid asset classes worldwide. The company uses a technology and data-driven approach to investing. By combining data, research, technology, and trading expertise, QRT adopts a collaborative mindset to address complex challenges. The company's culture of innovation aims to achieve high-quality returns for investors. 

Your future role within QRT:

You will collaborate with a team of experienced engineers and quantitative researchers to optimize QRT’s low-latency trading strategies. In this role, you will design and develop tools and monitoring solutions for high-performance data pipelines, enabling the team to directly influence and enhance trading strategy performance in a measurable way.

  • Tools development: Develop tools to collect and aggregate data from various components of complex in-house built trading systems
  • Data pipeline integration: Design and work with pipelines to streamline and process network packet captures for low-latency network analysis purposes
  • Monitoring and anomaly detection: Implement techniques allowing to automatically detect anomalies and features for network traffic and operating system metrics
  • Learn about trading: Get to know about financial markets and trading technology
  • Grow in your role: Become a subject matter expert of any aspect of trading technology and with time be able to propose measurable improvements to trading stack directly impacting trading strategies performance

Your present skillset:

  • Python and shell scripting experience
  • Data analytics and time series analysis experience
  • Basic knowledge of TCP/IP, UDP and Ethernet protocols
  • Understanding of GNU/Linux kernel and operating system internals
  • Fundamental C/C++ knowledge
  • Interest in financial markets and trading

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance

Python Engineer

at Qube

Back to all Python jobs
Qube logo
Hedge Funds

Python Engineer

at Qube

Mid LevelNo visa sponsorshipPython

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Collaborate with engineers and quantitative researchers to optimize low-latency trading strategies by designing tools and monitoring solutions for high-performance data pipelines. Build tools to collect and aggregate data from in-house trading systems, integrate and process network packet captures, and implement anomaly detection for network and OS metrics. Requires strong Python and shell scripting skills, data/time-series analysis experience, and familiarity with TCP/IP, Linux internals, and fundamental C/C++ knowledge. Opportunity to learn trading technology and grow into a subject-matter expert impacting trading performance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in various liquid asset classes worldwide. The company uses a technology and data-driven approach to investing. By combining data, research, technology, and trading expertise, QRT adopts a collaborative mindset to address complex challenges. The company's culture of innovation aims to achieve high-quality returns for investors. 

Your future role within QRT:

You will collaborate with a team of experienced engineers and quantitative researchers to optimize QRT’s low-latency trading strategies. In this role, you will design and develop tools and monitoring solutions for high-performance data pipelines, enabling the team to directly influence and enhance trading strategy performance in a measurable way.

  • Tools development: Develop tools to collect and aggregate data from various components of complex in-house built trading systems
  • Data pipeline integration: Design and work with pipelines to streamline and process network packet captures for low-latency network analysis purposes
  • Monitoring and anomaly detection: Implement techniques allowing to automatically detect anomalies and features for network traffic and operating system metrics
  • Learn about trading: Get to know about financial markets and trading technology
  • Grow in your role: Become a subject matter expert of any aspect of trading technology and with time be able to propose measurable improvements to trading stack directly impacting trading strategies performance

Your present skillset:

  • Python and shell scripting experience
  • Data analytics and time series analysis experience
  • Basic knowledge of TCP/IP, UDP and Ethernet protocols
  • Understanding of GNU/Linux kernel and operating system internals
  • Fundamental C/C++ knowledge
  • Interest in financial markets and trading

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance