Reference data is the foundation of every trading decision we make. From financial instruments and corporate actions to market calendars, counterparty data, and alternative datasets, the breadth and complexity of reference data continues to grow alongside the increasing sophistication and interconnected nature of global markets. We are looking for a Data Software Engineer to join our Global Data Engineering team to expand the coverage, quality, and robustness of our reference data products, which power low, medium, and high frequency trading strategies across the firm.
What you’ll do
Establish vision and technical direction for major initiatives across our reference data platform
Expand and harden existing reference data products – improving coverage across asset classes and datasets, raising data quality, and increasing operational robustness
Design, develop, support, and maintain critical components of our data infrastructure that traders and researchers rely on every day
Ensure new and existing programs adhere to our coding, architectural, and operational standards
Develop a deep understanding of trading, exchanges, and the diverse data domains that underpin them
Collaborate deeply with traders, engineers, and researchers to identify gaps, prioritise improvements, and deliver datasets that meet the bar of a top‑tier trading firm
What you’ll need
Strong engineering instincts and a deep understanding of computer science fundamentals
Experience writing software in C++, C, C# and/or Python
A pragmatic approach to data modelling – able to balance correctness, completeness, and the realities of messy upstream sources
Innovative, big‑picture thinking grounded in real‑world pragmatism
Desire to continuously improve in a rapidly evolving environment
Readiness to set technical direction, promote engineering principles, and do the right things
What you’ll get
A performance‑based bonus structure, enabling all of our employees to benefit from our global profit pool.
27 paid vacation days plus all UK public holidays.
Daily breakfast and lunch, along with support on commuting expenses.
Private medical insurance, pension scheme, and ClassPass fitness membership.
Training and continuous learning opportunities, including access to conferences and tech events.
International transfer opportunities for global career growth.
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