Site Reliability Engineer – Risk Technology at Qube Research & Technologies

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Automation, CI/CD Pipelines, Plotly Dash, Streamlit, System Performance Monitoring, Troubleshooting, Security Standards, Compliance Standards, AWS EKS, Object-Oriented Programming, Pandas DataFrame, Rest APIs, Containers, Kubernetes, SQL Server

Industry

Financial Services

Description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT We are seeking a pragmatic and commercially-oriented Risk Technology specific Site Reliability Engineer (SRE) to join our team. The ideal candidate will have a strong background in technology. Primary he/she will be involved in prototyping, building scalable solutions with automated tests and CI/CD pipelines for the business with the goal of delivering a stable service. He/She must have a keen interest in automating processes and workflows. In addition, he/she will have to liaise with internal or external teams for effective management of the QRT Risk Technology stack. What you will do: Develop and implement robust and reliable automation and/or analytical tools to help capture and investigate data quality problems using advanced Python Building and enhancing user interfaces using tools like Plotly Dash and/or Streamlit. Monitor system performance and troubleshoot issues to ensure optimal operation. Collaborate with other support and development teams, SRE or Infrastructure teams to improve system reliability and performance. Ensure security and compliance standards are met. Support Risk and PnL application infrastructure, including but not limited to: Risk and PnL application problems AWS EKS infrastructure issues Monitoring and react to system issues Requirements Good understanding of system architecture and cloud technologies. Proficiency in programming languages, Python being the primary. Experience with monitoring and logging tools. Excellent problem-solving skills and attention to detail. Ability to work in a fast-paced, dynamic environment. Commercially oriented mindset with a focus on business outcomes. Prior experience in the finance industry is preferred but not required. Your present skillset 4-7 years of software development experience. Advanced proficiency in Python with strong object-oriented programming skills. Advanced proficiency with the use of pandas DataFrame. UI development experience with python frameworks such as Plotly Dash and/or streamlit. Experience with self-hosted and cloud platforms (AWS preferred). Familiarity with Rest APIs, Containers, Kubernetes, and SQL Server. Strong problem-solving skills with a proactive and efficient approach. Good clear communication skill with the ability to navigate and express complex ideas. Ability to manage time effectively. Familiarity with risk and PnL concepts (good-to-have). Familiar with time series data visualization and technology such as InfluxDB, Prometheus (good-to-have). 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.

Responsibilities

The Site Reliability Engineer will be responsible for developing and implementing robust automation and analytical tools, primarily using advanced Python, to capture and investigate data quality issues, while also building and enhancing user interfaces with tools like Plotly Dash or Streamlit. Additionally, the role involves monitoring system performance, troubleshooting issues, collaborating with various teams to improve reliability, and ensuring security and compliance standards are met for the Risk and PnL application infrastructure.