Software Engineer - Data Lifecycle

Qube Research & Technologies•New York, NY

1d•$150,000 - $250,000

About The Position

Join QRT’s Data team as a Software Engineer working at the intersection of engineering, trading, and research. The role focuses on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics, with visibility across the business and collaboration with Execution, Engineering, and Research teams. Projects contribute to operational efficiency and trading decision-making. This is primarily a hands-on engineering role, with approximately 80% development and 20% support and system ownership. The position involves maintaining robustness, reliability, and data quality in production while working closely with trading, research, risk, and operations teams to build scalable, high-performance systems. The base salary range is $150,000 to $250,000 per year. QRT total compensation includes discretionary performance-based bonuses and a competitive benefits package.

Requirements

5–10 years of software engineering experience, ideally in a high-performance or data-intensive environment.
Strong programming skills in Python.
Solid understanding of software design, architecture, and scalable systems.
Experience working with SQL and relational databases.
Familiarity with testing frameworks and CI/CD practices.
An interest in learning and working in a trading environment.

Nice To Haves

Experience with C#.
Exposure to financial markets, including trade and position lifecycle systems; equities, ETFs, futures, or options; corporate actions and reference data; or market structure and exchange-specific behaviour. This domain experience is valuable but not required.
Experience building systems in a quantitative trading or financial environment.
Strong problem-solving skills with a focus on performance, scalability, and data quality.
Ability to operate in a high-impact, fast-paced environment with evolving requirements.
Clear communication skills and a collaborative mindset.

Responsibilities

Design and build scalable, high-performance systems for trade and position lifecycle management.
Develop solutions to automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes.
Build and maintain high-quality reference data platforms used across trading and research.
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, and operational robustness, including alignment with brokers and fund administrators.
Collaborate with stakeholders to translate business needs into reliable technical solutions.
Write well-tested, maintainable code and contribute to CI/CD and deployment pipelines.
Support production systems and continuously improve reliability, monitoring, and performance.