|
4 of 4 Remote Time Series Analysis Jobs in Central London
City Of London, England, United Kingdom Hybrid / WFH Options Glocomms
research, machine learning, and software engineering. You'll collaborate with quants, data scientists, and portfolio managers to design and implement scalable systems for data ingestion, model training, and real- time signal deployment. Key Responsibilities Design and develop robust, high-performance systems for AI/ML model development and deployment. Collaborate with quantitative researchers to translate trading strategies into production … ready code. Build and maintain data pipelines for structured and unstructured financial data. Implement backtesting frameworks and simulation environments. Optimise model inference and execution latency for real- time trading. Contribute to architectural decisions and technology stack selection for the greenfield platform. Required Skills & Experience Strong programming skills in Python, with experience in production-grade systems. Solid understanding of machine … learning workflows, including model training, validation, and deployment. Experience with quantitative finance, including time series analysis, alpha modelling, or risk analytics. Familiarity with cloud infrastructure (e.g., AWS, GCP) and containerisation (Docker, Kubernetes). Proficiency with data engineering tools Experience working in fast-paced, collaborative environments with agile methodologies. Nice to Have Prior experience in a hedge fund More ❯
City of London, London, United Kingdom Hybrid / WFH Options Tangent International
a forward-thinking real estate technology business. What you'll be doing: Build and deploy ML/AI solutions for commercial real estate, including generative AI models, LLMs, and time series analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production-ready Python code. Collaborate cross-functionally with product and engineering teams, translating More ❯
City Of London, England, United Kingdom Hybrid / WFH Options Sphere Digital Recruitment Group
As the Data Analyst, your responsibilities will include: Designing and implementing forecasting and performance measurement frameworks Setting KPIs and performance benchmarks aligned to business goals and marketing budgets Using time series analysis and regression modelling to support accurate forecasting and optimise channel mix Translating data into actionable insight and presenting findings to internal and client stakeholders Supporting … in marketing analytics and campaign measurement You 5+ years' experience in marketing analytics or performance measurement, ideally in an agency environment Advanced knowledge of regression models , predictive analytics , and time series forecasting Proficient in SQL, Excel (including Power Query and PivotTables), and either Python or R Skilled in dashboard development using tools like Power BI and Looker Studio More ❯
City of London, London, United Kingdom Hybrid / WFH Options ViVA Tech Talent
KDB+ Developer – Front Office | London | £90k–£120k 🏢 Location: London, UK (Hybrid – 2–3 days onsite) 💼 Job Type: Full- Time | Permanent 🧭 Sector: Financial Services/Investment Banking/Trading 💰 Salary: £90,000–£120,000 🚀 About the Role We're seeking a high-performing KDB+ Developer to join a world-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 tick data capture , data normalisation , and time- series analysis . Contribute to More ❯
|
|