10 of 10 Time Series Analysis Jobs in Central London

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 ❯

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 ❯

kernels and GPU profiling is a plus. Excellent communication skills, with the ability to present complex technical ideas to both technical and non-technical audiences. Knowledge of quantitative finance, time series modeling, and trading strategies is highly desirable. Desired Skills Experience with specific LLM architectures (e.g., Transformers, RNNs). Familiarity with time series analysis techniques. More ❯

trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯

strategies to optimize operations, forecast performance, and support strategic decision-making Close interface with Commercial Team supporting overall development of a data platform for the projects For the monitoring, analysis & scheduling of all assets and act as the key interface between all stakeholders Qualifications Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. Experience … with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of time-series analysis, predictive modelling, and machine learning techniques. Familiarity with database management systems (e.g., SQL) and cloud platforms (e.g., AWS, Azure). More ❯

with strategic advice Responsibilities: Bachelor’s or master’s degree in a highly quantitative field (mathematics, statistics, physics, computer science, etc) Strong knowledge of statistics Knowledge of machine learning, time-series analysis, pattern recognition, and NLP Independent research experience Excellent analytical skills More ❯

for the Commodity business. Key Activities and Key Competencies: Develop technical, market, product and technological expertise in order to expand the business’s capabilities on gas and power fundamental analysis and market making. Work with the Head of European energy trading and the Head of Commodity trading to implement, calibrate and maintain the team’s various power and gas … Proficiency in programming, preferably Python and SQL. Solid comprehension of large language models (LLM) in order to support the desk’s research. Ability to utilize advanced data analytics and time series analysis techniques to generate actionable signals for commodities trading. Ability to perform data cleaning, transformation, and web scraping to ensure high-quality datasets and insightful analysis. More ❯

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 ❯

excel in dynamic environments, we’d like to connect with you. Key Responsibilities: • Build and support pricing models across products traded within the macro business • Build processes for real-time P&L and risk calculations used by portfolio managers • Assist PMs and analysts in creating customized tools utilizing proprietary analytics • Construct and implement macroeconomic data series for analytical … code • Prior experience with interest rate swaps, options, fixed income futures, and FX; familiarity with pricing/risk libraries for live and historical analytics • Strong grasp of statistics, particularly time series analysis and regression techniques • Highly organized, with the ability to clearly present findings and iterate with PMs as needed More ❯

providing high-performance infrastructure for institutional participants across both anonymous and disclosed trading workflows. Our platform connects bank and non-bank liquidity providers with buy-side clients in real time, powering a seamless and dynamic marketplace. We are seeking a technically skilled and market-aware analyst to join the liquidity team. You will work closely with product, sales, and … a technical and operational standpoint Build and maintain dashboards or scripts to track latency, quote consistency, and fill performance Handle internal and client-facing requests for data insights, from time-series analysis to order book behavior Participate in the evolution of our automated liquidity tools by surfacing observations from real-world platform usage Collaborate with the product More ❯