1 to 25 of 33 Time Series Analysis Jobs in London

months ending December 2024 totaled $13.8 billion. We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. … be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions. Key Responsibilities: 1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization. 2. *Statistical Modeling*: Develop and maintain statistical models, including regression … analysis, time series analysis, and machine learning algorithms. 3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations. 4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance. 5. *Collaboration*: Collaborate with cross-functional teams, including business stakeholders, data More ❯

UK power and gas market. Your contributions will be essential to the development of our stack model, balance model, margin-based model, and price analysis tools. Responsibilities: Collaborate with the Trading Team to understand and address their requirements for the analytics platform. Be integrated to the Trading Desk to … platforms and tools that meet business needs. Contribute to the decision making process of the trading strategies. Utilise Python programming language for data processing, analysis, and modelling in the Power and Gas market. Conduct time series analysis, including data pre-processing, feature extraction, web scraping, model … selection, and evaluation. Visualise analysis results using tools like Metabase, creating clear and informative dashboards and reports. Develop Position Balance, Market stacks and price forecast models. Evaluate and monitor the accuracy and effectiveness of external price forecast models. Develop analytics related to Power and Gas fundamentals, such as system More ❯

Location London Business Area Research Ref # Description & Requirements BloombergNEF (BNEF) is seeking a versatile and highly motivated individual to join our European gas analysis team for a 6 month contract. To succeed in this role, you will have a genuine passion and enthusiasm for data and quantitative methods … a genuine appreciation of the importance of data. In this role you will be focused on ensuring the data used in our research and analysis is sourced, stored, modelled and visualized to the highest possible standards whilst also helping build our new generation of client-facing tools. You will … need to be well-developed on quantitative and qualitative analysis skills along with a particular interest in critically analyzing complex subjects. Applications from candidates with an academic or career related expertise in gas markets or similar are particularly welcome. BNEF is a strategic research provider covering global commodity markets More ❯

decisions regarding market risk modelling for Equity derivatives positions traded in Europe and Asia. Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of … validation to review, in accordance with Firm’s Model Risk Management policies and framework. Qualifications: Strong background in market risk models and methodologies (e.g. time series analysis, VaR methodologies and backtesting), with 5 - 8 years of previous experience in a quantitative role at a financial institution. Good … products. Strong programing skills and data handling skills in SQL and Python (ability to wrangle large data sets, implement statistical tests, and perform data analysis on test results). Excellent communication and presentation skills (ability to engage in concise, effective discussions). Excellent written skills (ability to produce well More ❯

decisions regarding market risk modelling for Equity derivatives positions traded in Europe and Asia. Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of … validation to review, in accordance with Firm’s Model Risk Management policies and framework. Qualifications: Strong background in market risk models and methodologies (e.g. time series analysis, VaR methodologies and backtesting), with 5 - 8 years of previous experience in a quantitative role at a financial institution. Good … products. Strong programing skills and data handling skills in SQL and Python (ability to wrangle large data sets, implement statistical tests, and perform data analysis on test results). Excellent communication and presentation skills (ability to engage in concise, effective discussions). Excellent written skills (ability to produce well More ❯

to generate insights that empower strategic decision-making, improve care delivery, and enhance workforce efficiency and resident outcomes. Specialising in machine learning and statistical analysis, you will be responsible for developing predictive models, delivering advanced analytics, and uncovering trends to shape the organisation's care home operations. By designing … and deploying machine learning models, conducting trend analysis, and developing predictive tools, you will forecast resident needs, workforce requirements, and financial outcomes. You will collaborate closely with data engineers, analysts, and operational teams to translate business challenges into data-driven solutions, presenting insights clearly to both technical and non … such as TensorFlow, PyTorch, or Scikit-learn is essential to successfully build and deploy models. Additionally, you should have a solid understanding of statistical analysis techniques, including hypothesis testing, regression, and time-series analysis, to ensure insightful data interpretation. In terms of data visualisation , proficiency in More ❯

Job Title: Quantitative Analyst, Power & Gas Contract Type: Permanent Time Type: Full time Job Description: The Quantitative Analyst is part of the Power and Gas team, delivering advanced analytics for the power and gas trading desk within Gunvor, ideally based in London. They are responsible for providing high …/Natural Gas spectrum. Main Responsibilities: In-depth expertise in evaluating and assigning value to physical assets Assist the traders with ad hoc market analysis/insights. Maintain and improve existing pricing models Identify the right set of models and develops the right code/package to execute them. … respective key stakeholders. Support Origination activity and investment decisions. Communicating technical jargon in plain English to colleagues within the team. Prepare various reports and analysis for publishing internally. Maintain and improve teams IT capabilities. Develop systematic trading strategies for the Power/Natural Gas Market. Profile/Key Skills More ❯

Senior Software Engineer - Fixed Income (FTA) Apply locations London, Warwick Court time type Full time posted on Posted 9 Days Ago job requisition id 75646 There is a place for you at T. Rowe Price to grow, contribute, learn, and make a difference. We are a premier asset … Git, CI/CD, etc. Proficient on Linux platforms with knowledge of various scripting languages A good level of relevant mathematical knowledge e.g., statistics, time-series analysis, asset pricing theory, optimisation algorithms. Role Responsibilities Work within a team on multi-disciplinary or cross-functional initiatives of notable … testing and techniques Performs strongly in multiple parts of the software lifecycle (e.g., coding, testing, development) Experience with different styles of architecture (e.g. real-time, batch, orchestration) Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience Stays abreast of More ❯

skilled team of engineers and machine learning experts, directly contributing to next-generation capabilities that enable our users to automate their PAI collection and analysis workflows. This role is crucial to our mission of making the world safer by empowering the human mind with the right information at the … right time. Scope of Work: Design and improve NLP models for text analysis, entity recognition, and relationship extraction from web content Analyze data to identify patterns and insights that can enhance our platform's capabilities Research and evaluate algorithms for information discovery from publicly available sources Design advanced search … a plus) Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn) Experience with SQL for data querying and analysis Solid understanding of machine learning algorithms, statistical methods, and predictive modeling Experience with NLP techniques for text analysis, classification, and information extraction Knowledge More ❯

Graduate Quantitative Analyst Department: Markets Employment Type: Permanent - Full Time Location: London Reporting To: Nicky Ferguson Description Energy Aspects is seeking a Quantitative Analyst/Strategist to join our industry leading Quant Analytics team. The Quant Analytics service focuses on modelling market participants and financial flows in commodity and … responsibilities and will contribute to the full life cycle of our work, from original quantitative research development, building and maintaining models, carrying out detailed analysis, delivering compelling market coverage, and delivering our core views to clients. The position will be responsible for preparing and contributing to our publications, with … a focus on the paper side of commodity markets. This will involve you carrying out a comprehensive analysis of futures market pricing developments, futures and options participant flows and positioning analysis, and integrating this with our wider global analysis to create forward-looking tradeable views. You will More ❯

Monitoring team, you will: Develop and refine the intelligence used to detect financial crime, balancing efficacy with operational efficiency to reduce false positives, investigation time, and customer friction Deliver actionable insights that directly improve detection rates, uncover new risk patterns, and inform prevention strategies Act as a bridge between … as a data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regression analysis Experience in producing insights that led to measurable improvements, ideally in relevant … and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both More ❯

Monitoring team, you will: Develop and refine the intelligence used to detect financial crime, balancing efficacy with operational efficiency to reduce false positives, investigation time, and customer friction Deliver actionable insights that directly improve detection rates, uncover new risk patterns, and inform prevention strategies Act as a bridge between … as a data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regression analysis Experience in producing insights that led to measurable improvements, ideally in relevant … and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both More ❯

highly visible role, you will work directly with senior leaders, C-suite executives, and external clients to address complex business challenges through advanced quantitative analysis and research. Your insights will play a critical role in shaping strategic decisions and enhancing data-driven solutions across the organisation. Your Responsibilities Develop … bodies Proactively share knowledge and promote best data practices with internal colleagues Mentor junior team members Your Profile Mandatory: around 3+ years in quantitative analysis on the buy- or sell-side with a sound understanding of FX market structure, trading strategies and risk management principles Experienced with time-series analysis, econometrics, and machine learning techniques Strong Python and SQL skills with experience in numerical computing and statistical analysis Experience using notebooks (e.g. Jupyter), Tableau or other data science tools for analysis and visualization A self-starter, with a track record of working independently More ❯

Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Reporting To: Beth Rice Compensation: £110,000 - £130,000/year Description At Field, we have spent the last few years developing our automated energy trading platform, Gaia. We deployed Gaia to trade in real … time for our first physical asset in GB in early November 2024. We are improving our algorithms all the time, and over the coming years we will be deploying Gaia on more GB assets as well as assets across Europe (Germany, Italy and Spain). You will be … responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we More ❯

projects. Key Responsibilities: Perform in-depth quantitative research of ideas to support investment decisions. Build and maintain quantitative factor models using methods such as time series analysis, machine learning, regression, network analysis, and Natural Language Processing. Develop portfolio construction tools to extract alpha from the markets. More ❯

BloombergNEF (BNEF) is seeking a versatile and highly motivated individual to join our European gas analysis team for a 6 month contract. To succeed in this role, you will have a genuine passion and enthusiasm for data and quantitative methods alongside a genuine appreciation of the importance of data. … In this role you will be focused on ensuring the data used in our research and analysis is sourced, stored, modelled and visualized to the highest possible standards whilst also helping build our new generation of client-facing tools. You will need to be well-developed on quantitative and … qualitative analysis skills along with a particular interest in critically analyzing complex subjects. Applications from candidates with an academic or career related expertise in gas markets or similar are particularly welcome. BNEF is a strategic research provider covering global commodity markets and the disruptive technologies driving the transition to More ❯

who are bringing Frontier AI to the frontlines of the world. We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can … A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop … work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational More ❯

mid-frequency trading strategies using machine learning models and advanced quantitative methods. You'll work with large datasets, applying statistical techniques to drive real-time trading decisions. As part of a lean, skilled team, you will contribute across the entire pipeline, from data preprocessing to model deployment, ensuring the … integration of research and real-time execution. This hands-on role combines quantitative research with software engineering, requiring strong coding abilities and the application of CI/CD, DevOps, and MLOps principles. Key Responsibilities: Design and execute research experiments to develop innovative models and strategies, evaluating results rigorously. Develop … learning experience in a commercial or academic setting, or 2+ years in quantitative research or development in trading. Skills : Strong understanding of multivariate statistics, time-series analysis, machine learning, and optimization. Strong programming skills in Python, including libraries like NumPy, Pandas, and Scikit-learn. Familiarity with Q More ❯

leading proprietary trading firm is seeking a skilled PM to develop strategies for their Cash Equities desk. This role entails conducting microsecond-level market analysis, developing ultra-low latency trading signals, and implementing high-performance systematic strategies into production. The focus will be on generating consistent PnL while maintaining … such as C++, Python and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statistical modelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a leading More ❯

leading proprietary trading firm is seeking a skilled PM to develop strategies for their Cash Equities desk. This role entails conducting microsecond-level market analysis, developing ultra-low latency trading signals, and implementing high-performance systematic strategies into production. The focus will be on generating consistent PnL while maintaining … such as C++, Python and Java Hands-on experience with High Frequency Trading (HFT) and designing ultra-low-latency systems Proficiency in statistical modelling, time series analysis, and machine learning techniques Strong communication abilities in explaining your methodologies This is an amazing opportunity to join a leading More ❯

. The role involves developing advanced research and trading strategies across global equities, futures, and systematic macro asset classes. Key Responsibilities: Conduct advanced statistical analysis on financial data to identify and develop predictive models for trading strategies across various asset classes. Lead full-cycle quantitative research and strategy development … Science, Engineering, or related field). Strong programming skills in languages such as Python , C/C++ , or R . Experience with statistical modeling, time-series analysis, and machine learning techniques applied to financial markets. Ready to leverage your quantitative skills and make an impact in the More ❯

Machine Learning, Computer Science, Mathematics, Physics, or related fields). Up to 2 years of experience in machine learning, preferably applied to financial markets, time-series analysis, or similar data-intensive domains. Deep theoretical knowledge of machine learning, with expertise in areas such neural networks and statistical More ❯

compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and More ❯

compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and More ❯

compelling storytelling and actionable recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis, and time series analysis. Excellent verbal and More ❯