Software Engineer - Data & Lifecycle (Derivatives)
Qube Research & Technologies6 months ago
London, United KingdomMid Level
Responsibilities
- Design and implement scalable, high-performance solutions for derivative trade and position lifecycle automations.
- Automate processes involving corporate actions, expiries, coupon payments, and other lifecycle events.
- Ensure the availability and quality of reference data for derivatives traded across different markets and exchanges.
- Serve as a subject-matter expert for derivatives reference data and lifecycle processes.
- Partner with trading, research, and other stakeholders to align solutions with business needs.
Requirements
- At least 4 years of work experience in a quantitative trading environment.
- Deep understanding of derivatives, especially futures and options, including reference data and lifecycle events.
- In-depth knowledge of how derivatives are treated across different markets and exchanges.
- Advanced programming skills and willingness to work with programming languages beyond existing experience.
- Python or C# experience is a plus.
- Familiarity with SQL and relational databases.
- Knowledge of testing within continuous delivery and integration pipelines.
- Strong English communication skills and ability to collaborate effectively in a small team.
Benefits
- Programs and initiatives supporting employee health and work-life balance.
- Equal opportunity employer committed to diversity and respectful collaboration.
About Qube Research & Technologies
Qube Research & Technologies is a global quantitative and systematic investment manager that develops and trades data-driven strategies across liquid asset classes for institutional investors. The firm manages client capital and proprietary funds, earning management and performance fees. Founded in 2018 and headquartered in London, it operates with offices in 16 locations worldwide.