Software Engineer - Data Lifecycle

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Software Engineer - Data Lifecycle in USA new

Qube Research & Technologies
Full time
Email

USA
10/28/2026
Report

New York, NY

Responsibilities

Design and build scalable, high-performance systems for trade and position lifecycle management.
Automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes.
Build and maintain reference data platforms used by trading and research teams.
Deliver real-time and end-of-day reporting pipelines for internal and external stakeholders.
Ensure data accuracy, integrity, and consistency across systems and workflows.
Contribute to system validation, controls, operational robustness, and alignment with brokers and fund administrators.
Translate stakeholder business needs into reliable technical solutions.
Write well-tested, maintainable code and contribute to deployment pipelines.
Support production systems and improve reliability, monitoring, and performance.

Requirements

5–10 years of software engineering experience, ideally in a high-performance or data-intensive environment.
Strong programming skills in Python; C# experience is a plus.
Solid understanding of software design, architecture, and scalable systems.
Experience working with SQL and relational databases.
Familiarity with testing frameworks and CI/CD practices.
Exposure to financial markets, trade and position lifecycle systems, equities, ETFs, futures, options, corporate actions, reference data, or market structure is valuable but not required.
Strong problem-solving skills focused on performance, scalability, and data quality.
Ability to work in a high-impact, fast-paced environment with evolving requirements.
Clear communication skills and a collaborative mindset.

Benefits

Competitive benefits package.
Discretionary performance-based bonuses are included in total compensation.
Base salary range is $150,000 to $250,000 per year.

Salary: $150k - $250k/yr

Qube Research & Technologies

Qube Research & Technologies is a global quantitative investment manager that leverages a scientific approach to investing across all liquid asset classes. By integrating advanced data analysis, cutting-edge technology, and trading expertise, we meet complex challenges in the financial markets an...

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