Systematic Data Technologist Newcastle in Newcastle upon Tyne

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

• 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 translate business requirements into clear data specifications and usable datasets.
• Strong understanding of equity data and historical dataset construction for systematic use cases.
• Ability to identify data caveats, inconsistencies, and implementation risks.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to explain technical issues to front-office stakeholders.
• Ability to work across research, technology, and data teams.
• Ability to manage multiple priorities under tight deadlines.
• Experience contributing to a shared codebase.
• An Undergraduate Degree in a relevant subject.

We would also prefer you to have

• Experience in a similar role within the financial industry, ideally supporting systematic investing, quantitative research, or equities teams.
• Proven experience curating datasets for systematic research and production use.
• Detailed knowledge of equity datasets, including pricing, security reference, fundamentals, text, and alternative data sources.
• Strong understanding of point-in-time data concepts and best practices in data processing and analysis.
• Familiarity with equity data vendors, vendor methodologies, and dataset caveats.
• Experience with security master and reference data.
• Proven experience using Python or SQL to interrogate vendor data and structured datasets.

You can have an impact from day one – we empower and trust our people to leverage their skillsets. Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends. Deliver demonstrable business value working hand-in-hand with the customer. Learn from industry experts on how financial markets and world economies work. Ownership of technical products and projects – actively engage with a wide range of business functions to leverage their knowledge and exposure. Exercising judgement and acumen to understand the true business need beyond the stated requirements.