Permanent Market Data Developer - Commodities - Python/Market Data/DMS/ETL/Data Warehousing/tickdata As a Senior market data developer, you will be responsible of developing market data capabilities ensuring reliable and accurate data feeds consumption … and distribution. You will advance the development of our DMS aimed to ensure market data reliability for the Marketing Division's operations. The ideal candidate disposes of: Own end to end market data development projects, from requirements gathering with business users, designing the solution with the team, building … and delivering services for data parsing and distribution. Deliver and enhance data parsers and other data processing mechanisms aligned to a standardised data consumption/distribution model. Steward ETL coding standards: ensuring that code is standardised, self-documenting and can be reliably tested. Lead a team More ❯
City of London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
+ Bonus + Benefits We're working with a global financial institution to hire a mid-level KDB+ Engineer for their growing real-time data team based in Canary Wharf. This team plays a key role in supporting time-series data systems for trading, with a strong focus … on performance, scalability, and data accuracy. You'll work onsite three days per week, collaborating closely with quants, traders, and fellow engineers to develop and optimise KDB+/q-based solutions that power front-office decision-making and analytics. What You'll Be Doing Build and maintain real-time … and historical KDB+ systems Optimise tickdata ingestion and query performance Partner with trading desks to deliver reliable data feeds and tools Implement best practices in q coding, testing, and deployment Monitor, troubleshoot, and fine-tune system performance Work on system upgrades, migrations, and ongoing improvements More ❯
City of London, London, United Kingdom Hybrid / WFH Options
ViVA Tech Talent
leading investment bank’s Front Office Quantitative Technology team in London . You will design, build, and optimise low-latency, high-performance time-series data systems used for real-time analytics , trading , and decision-making across global markets. This is a critical hire for an elite team driving alpha … generation tools and cutting-edge data platforms using KDB+/q . 🧠 Key Responsibilities Develop and maintain scalable KDB+/q solutions for real-time market data ingestion, processing, and analytics. Collaborate directly with quant traders , quants , and front office technologists to build mission-critical trading systems. Optimise … existing KDB+ databases for performance, latency, and storage efficiency . Design and implement solutions for tickdata capture , data normalisation , and time-series analysis . Contribute to architectural decisions around data pipelines , streaming platforms , and KX integration . Ensure high availability and reliability of market More ❯
leading investment bank’s Front Office Quantitative Technology team in London . You will design, build, and optimise low-latency, high-performance time-series data systems used for real-time analytics , trading , and decision-making across global markets. This is a critical hire for an elite team driving alpha … generation tools and cutting-edge data platforms using KDB+/q . 🧠 Key Responsibilities Develop and maintain scalable KDB+/q solutions for real-time market data ingestion, processing, and analytics. Collaborate directly with quant traders , quants , and front office technologists to build mission-critical trading systems. Optimise … existing KDB+ databases for performance, latency, and storage efficiency . Design and implement solutions for tickdata capture , data normalisation , and time-series analysis . Contribute to architectural decisions around data pipelines , streaming platforms , and KX integration . Ensure high availability and reliability of market More ❯
london, south east england, united kingdom Hybrid / WFH Options
ViVA Tech Talent
leading investment bank’s Front Office Quantitative Technology team in London . You will design, build, and optimise low-latency, high-performance time-series data systems used for real-time analytics , trading , and decision-making across global markets. This is a critical hire for an elite team driving alpha … generation tools and cutting-edge data platforms using KDB+/q . 🧠 Key Responsibilities Develop and maintain scalable KDB+/q solutions for real-time market data ingestion, processing, and analytics. Collaborate directly with quant traders , quants , and front office technologists to build mission-critical trading systems. Optimise … existing KDB+ databases for performance, latency, and storage efficiency . Design and implement solutions for tickdata capture , data normalisation , and time-series analysis . Contribute to architectural decisions around data pipelines , streaming platforms , and KX integration . Ensure high availability and reliability of market More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
ViVA Tech Talent
leading investment bank’s Front Office Quantitative Technology team in London . You will design, build, and optimise low-latency, high-performance time-series data systems used for real-time analytics , trading , and decision-making across global markets. This is a critical hire for an elite team driving alpha … generation tools and cutting-edge data platforms using KDB+/q . 🧠 Key Responsibilities Develop and maintain scalable KDB+/q solutions for real-time market data ingestion, processing, and analytics. Collaborate directly with quant traders , quants , and front office technologists to build mission-critical trading systems. Optimise … existing KDB+ databases for performance, latency, and storage efficiency . Design and implement solutions for tickdata capture , data normalisation , and time-series analysis . Contribute to architectural decisions around data pipelines , streaming platforms , and KX integration . Ensure high availability and reliability of market More ❯
slough, south east england, united kingdom Hybrid / WFH Options
ViVA Tech Talent
leading investment bank’s Front Office Quantitative Technology team in London . You will design, build, and optimise low-latency, high-performance time-series data systems used for real-time analytics , trading , and decision-making across global markets. This is a critical hire for an elite team driving alpha … generation tools and cutting-edge data platforms using KDB+/q . 🧠 Key Responsibilities Develop and maintain scalable KDB+/q solutions for real-time market data ingestion, processing, and analytics. Collaborate directly with quant traders , quants , and front office technologists to build mission-critical trading systems. Optimise … existing KDB+ databases for performance, latency, and storage efficiency . Design and implement solutions for tickdata capture , data normalisation , and time-series analysis . Contribute to architectural decisions around data pipelines , streaming platforms , and KX integration . Ensure high availability and reliability of market More ❯
London, Clerkenwell, United Kingdom Hybrid / WFH Options
Eligo Recruitment Ltd
90K- £110,000 per annum plus bonus Join a leading global investment bank at the forefront of financial technology innovation. We leverage cutting-edge data platforms and advanced analytics to power our high-frequency trading strategies, risk management, and market insights. Our clients collaborative environment fosters continuous learning and … that handle vast volumes of real-time and historical financial market data. You will play a key role in building scalable, resilient, and optimised data solutions that directly impact the trading decisions and business operations. Key Responsibilities: Design, develop, and implement robust and efficient KDB+/Q applications for … Work closely with traders, quantitative analysts, and other technology teams to understand business requirements and translate them into technical solutions. Optimize KDB+ performance for data capture, querying, and analysis, focusing on low-latency and high-throughput environments. Develop and maintain KDB+ tick plant architectures, historical databases, and More ❯
London, England, United Kingdom Hybrid / WFH Options
Jobs via eFinancialCareers
Client Support Specialist II Intercontinental Exchange London, United Kingdom Apply now Posted 5 days ago Hybrid Job Permanent Competitive Job Purpose ICE Data Services is seeking a dynamic Client Support Specialist to join our London-based team. This client-facing role provides first-line and second-line support for … the ICE Consolidated Feed and ICE Consolidated History products. ICE Consolidated Feed aggregates low-latency financial data across asset classes from over 600 sources including but not limited to most major global exchanges to provide real-time market data in a normalised, easy-to-consume format. Meanwhile, ICE … client needs, such as trading application display, algorithmic trading, risk management, back-testing, and compliance trade surveillance. In this role, you will represent ICE Data Services by providing ongoing support to clients and relaying client feedback to internal stakeholders to enhance product quality and drive customer satisfaction. This position More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
sought to join a small but exceptional Systematic Investment firm (Mid-Frequency Quant Hedge Fund), as they transform the way the use they use Data across the business. My client is a hugely respected Systematic Hedge Fund with around $10BN in Assets under Management and with a track-record … KDB+/Q for only around two years, with the platform driving wide-spread transformation across the firm’s way-of-working, across both Data Capture and Tick-Data. A new opportunity has recently arisen for a senior and experienced KDB+ specialist to join in an Individual … Contributor capacity as part of the Data function, tasked with identifying, owning, leading and delivering Greenfield KDB+ projects, while collaborating extensively with colleagues firmwide, across Quant Research, Portfolio Management, Quant Development and Software Engineering teams, as well as of course with their peers in the Data space. This More ❯