1 to 25 of 35 Time Series Analysis Jobs in London

applying their technical and quantitative skills to real-world investment opportunities and portfolio management. The Role You will play a key role in the analysis of new investment opportunities, working closely with experienced investment professionals across structured finance and mortgages. Key responsibilities will include: Cleansing, manipulating and summarising large … investment data sets and loan-level data tapes. Analysing loan-level time-series data to produce vintage and time-series analysis of defaults, recoveries, prepayments and other portfolio characteristics. Combining and aggregating data from multiple sources to identify patterns, correlations and trends. Deriving modelling assumptions ...

depth developed through industry experience is equally valued; expertise matters more than the credential Fluent in Python Strong experience with regression and classification, clustering, time-series analysis, anomaly detection, sequence-to-sequence architectures and stochastic optimisation Able to solve ambiguous problems independently and determine next steps without … building team capabilities. Highest-signal resume keywords Machine Learning Artificial Intelligence Python Programming Model Development Data Science Leadership ATS Optimization Keywords Hard Skills Regression Analysis Classification Clustering Time-Series Analysis Anomaly Detection Stochastic Optimisation Experiment Design Model Validation Model Deployment Monitoring Soft Skills Problem Solving Mentoring ...

data and AI/ML pipelines for advanced analytics and automated insight generation Apply machine learning, statistical modelling, deep learning, NLP, graph analytics and time-series analysis Prepare, transform and integrate large multi-source datasets, including sensor, geospatial and communications data Develop predictive models, prototypes and proof … multi-disciplinary agile teams with mission analysts and operational users Deliver intelligence data exploitation, advanced analytics, operational decision-support systems, data triage and automated analysis of large datasets Requirements Experience working in secure or highly regulated environments Understanding of handling sensitive or classified data Strong knowledge of modern data ...

Senior Management is expected. Responsibilities Lead research and development of margin, stress testing, and risk management models for clearing houses. Perform quantitative risk analysis and develop solutions across multiple asset classes (interest rate, equity, credit, and commodity derivatives). Conduct data exploration, statistical analysis, and time series … MATLAB, C++ or Java preferred. Working knowledge of relational databases (Oracle, Postgres, Snowflake) and version control tools (Git). Solid understanding of statistics, time series analysis, and financial derivatives pricing and risk management. Ability to work under pressure in a high-performance environment with tight deadlines. Excellent ...

evolve ambitious prototypes into a rock‐solid, scalable platform What you’ll actually do 50% Build — design & ship Agentic AI for CX: Real‐time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‐in‐the‐loop controls. Structured extraction: Schema‐driven pipelines … over unstructured text (and other modalities) using retrieval, tool‐use, and robust LLM prompting. Hybrid anomaly detection: Blend classical time‐series methods (e.g., decomposition, change‐point, forecasting) with LLM‐aware, contextful detectors for seasonality, spikes, step‐changes, and drift. Novelty discovery: Embedding‐based clustering and drift, topic surfacing ...

value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment ...

work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It’s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your … environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies.Keen to demonstrate the potential that Agentic & Gen AI has to offer to unlock ...

space that underpins cloud cost transparency, allocation, forecasting and optimisation. This is a hands-on role, working at the intersection of data engineering, financial analysis and cloud economics. You will analyse billing, usage and telemetry data across public cloud and SaaS providers, build models that turn this data into … Develop unit economics and cost driver analytics that link cloud spend to business and technical demand metrics. Build forecasting, budget-to-actual and variance analysis models for cloud consumption, and investigate and explain the drivers of deviations. Model commitment portfolio economics for Reserved Instances, Savings Plans, committed spend agreements ...

statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market conditions. Our work spans the full lifecycle of algorithmic trading — from research into price formation and liquidity dynamics, through model development and back … execution algorithms (e.g., VWAP, Participate, adaptive/liquidity‐seeking strategies) for cash equities. Conduct rigorous quantitative research on market microstructure, order‐book dynamics, venue analysis, and transaction cost analysis (TCA). Build and maintain statistical and machine learning models for short‐term price prediction, fill‐rate estimation, market ...

microstructure, statistical modelling, and machine learningwith world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market conditions. Our work spans the full lifecycle of algorithmic trading — from researchinto price formation and liquidity dynamics, throughmodel development and back-testing, toproduction … execution algorithms (e.g., VWAP, Participate, adaptive/liquidity-seeking strategies) for cash equities. Conduct rigorous quantitative research on market microstructure, order-book dynamics, venue analysis, and transaction cost analysis (TCA). Build and maintain statistical and machine learning models for short-term price prediction, fill-rate estimation, market ...

delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools. This role will focus on Market Risk. A&R has a unique vista point in the firm … team-oriented communication skills. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis ...

amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. http://www.vortexa.com/Ingesting data from multiple external vastly … different sources at hundreds of rich data points per second, moving terabytes of data while processing it in real time, running complex and complicated prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble ...

large datasets and performing detailed data analysis. Proficiency in one or more of Python, C#, C++ or Java . Experience within data science, quantitative analysis or statistical modelling . Strong analytical and problem-solving abilities. Excellent attention to detail and numerical accuracy. Strong communication skills and the ability … inquisitive approach to solving complex problems. Desirable Experience developing predictive or statistical models. Knowledge of machine learning or advanced statistical techniques. Experience with time-series analysis, regression or optimisation. Experience working with real-time or high-volume datasets. A genuine interest in data-driven decision making ...

Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch ...

Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis Knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics Understanding of machine learning frameworks: Tensorflow, Pytorch ...

infrastructure patterns (model serving, feature stores, distributed training) Experience with performance profiling and optimization of numerical or modeling code Prior exposure to financial data, time-series analysis, or quantitative research environments Equal Opportunity Employer The the company Group is an Equal Opportunity employer. Applicants are considered without ...

research tools, dashboards and analytical infrastructure to improve trading performance and research productivity. Partner with discretionary traders to enhance existing strategies through advanced statistical analysis and quantitative modelling. Work closely with Research to develop quantitative insights and market analytics that enhances the Agricultural product offering. Ensuring compliance with … experience in quantitative research, quantitative trading or systematic strategy development. Strong Python programming skills and experience building research pipelines. Solid understanding of statistics, probability, time series analysis and machine learning techniques relevant to financial markets. Experience designing rigorous back testing and model validation frameworks. Experience working with ...

techniques. Strong Python programming skills and experience with common data science libraries such as Pandas, NumPy and Scikit-learn. A solid understanding of statistics, time-series analysis and predictive modelling. #J-18808-Ljbffr ...

techniques, fromlinear models to deep learning, depending on whatbest fits a given problem. You'll spend the bulk of your internshipworking closely with full-time researchers onprojects drawn from their own work. You'llgain a better understanding of the diverse arrayof challenges we consider every day, learning howwe think … about experiment design, datasetgeneration, time series analysis, featureengineering, and model building for financialdatasets. Your day-to-day project work will becomplemented by classes on the broaderfundamentals of markets and trading, lunchseminars, and activities designed to help youunderstand the entire process of creating a newtrading strategy, from initial ...

build scalable pipelines, deliver dashboards and actionable insights for stakeholders. The role requires hands-on expertise in Python data science tools, NLP, graph analytics, time-series analysis and a track record in regulated settings. #J-18808-Ljbffr ...

across liquid and illiquid assets, asset allocation and portfolio optimisation. Practical exposure to bond pricing, stochastic volatility modelling and Monte Carlo simulations. Proficient in time‐series analysis, econometrics and factor‐based modelling. Advanced Python (numpy, pandas) with production deployment experience. C++ highly valued; SQL proficiency; MS Office ...

opportunity to contribute to various AI/ML domains, including but not limited to machine learning, deep learning, natural language processing, information retrieval, time series analysis, and recommender systems. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems ...

help us build models, strategies and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach. At Jane ...

about finance. We are interested in applicants who possess skills in several of the following areas: Mathematics: Understanding of partial differential equations, stochastic calculus, time series analysis, statistics and numerical techniques. Technology: Experience building large-scale distributed systems, implementing fundamental algorithms and working in different programming languages. … life, accidental death, labor accident and business travel accident insurance. We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement ...

clients' needs. The role is very hands‐on and you'll support as a senior contributor role for a project, focusing on: Data analysis and reporting : Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation : Producing BI dashboards using … that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Key responsibilities Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability ...