Software Engineer - Data & Lifecycle (Derivatives)

Skills this role screens for

About the role

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.

Also

Your future role at QRT

We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams.

This position has a specialized focus as an SME for Derivatives - Reference Data and Lifecycle. This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes.

The work

Your responsibilities will include

Partner closely with a variety of stakeholders and maintain alignment with business needs.

• Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for derivative products, ensuring accuracy and operational efficiency.
• Ensure the availability and quality of reference data for different types of derivatives traded by QRT.

Who they want

Your present skillset

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.

• 4+ years of work experience in a quantitative trading environment
• Deep understanding of derivatives (especially futures and options) with regards to reference data and the asset’s lifecycle events
• In depth knowledge of how derivatives are treated in different markets / exchanges.
• Advanced programming skills, with a drive for delivering strategic solutions.
• Programming language agnostic. Experience with Python or C# is a plus but should be willing to pick up.
• Familiarity with SQL and relational databases.
• Knowledge of testing as part of continuous delivery and integration pipelines.
• Excellent communication skills, and ability to collaborate effectively in a small, close-knit team.
• Fluency in English, both written and verbal communication skills