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Systematic Data Technologist Who We Are Neptune North was founded in 2024 as a joint venture between Oliver Wyman, a global leader in management consulting and part of the NYSE-listed Marsh, and Rokos Capital Management, a global alternative investment fund manager. Our people are exceptional technical experts, who thrive on exploiting leading-edge technologies to solve the most complex problems. We provide bespoke technology solutions to businesses operating in the banking and financial services, private capital and defence industries. Our working environment is founded on principles of trust, collaboration and shared purpose. We pride ourselves both on the high calibre of our people, and on the supportive workplace they create, where each individual is given autonomy to grow and thrive. From our headquarters in Newcastle upon Tyne, UK, we operate across our international office network. We are expanding rapidly, building teams in key markets to stay close to our clients and talent.   Our Culture We are looking for exceptional talent with excellent communication skills Collaboration is key, both internally and with our clients. We believe we do our best work when we are together and working hand in hand with business users Curiosity is something we embrace and value highly We want people who are positive and passionate, have proven problem solving capabilities, can work quickly to find solutions to complex challenges and unlock big opportunities People need to be able to take ownership and be trusted to deliver, going the extra mile We want people who are highly motivated and have a high desire to learn   Systematic Technology Team Our client’s Systematic Tech team is responsible for building, maintaining, and supporting the core technology platform that underpins systematic research, trading, and production operations. The team owns four core areas of the systematic platform: backtesting and research tools; runtime and execution pipelines for production trading; development infrastructure, including CI/CD, deployment, and monitoring; and production support for live systematic workflows. The team works closely with researchers, portfolio managers, and central platform teams to ensure the systematic environment is robust, scalable, and fit for both research and live trading use.   Responsibilities The successful candidate will bring deep knowledge of equity datasets, point-in-time data design, vendor methodologies, and data quality curation. They will act as a key link between investment users, technology teams, and central stakeholders to ensure equity data is implemented and maintained to a high standard. Responsibilities will typically include: Own the business logic and curate high-quality downstream datasets for systematic equity research and production use. Work with systematic researchers, portfolio managers, developers, and the central Data team to derive data specifications from investment requirements and ensure datasets are fit for purpose for backtesting, signal research, portfolio construction, risk management and production trading. Apply deep expertise in equity datasets, point-in-time behaviour, vendor methodologies, corporate action treatments and security master structures to ensure data is usable, historically correct, and well understood. Define and enhance data quality controls, validation processes, and monitoring for systematic equity datasets. Improve data models, transformation logic, and access patterns in partnership with Technology teams, and contribute to the Systematic Tech codebase. Validate vendor-delivered data, and maintain clear documentation of lineage, definitions, caveats, and user guidance.   What makes a great candidate Strong technical skills, including Python and SQL. Strong understanding of data management, lineage, and data quality principles. Ability to