1,251 to 1,275 of 1,863 Analytics Jobs in London

Engage closely with traders, analysts, and market strategists to translate complex data into actionable insights that drive trading performance Identify and automate repetitive processes, creating scalable, reusable modules across analytics projects Monitor developments in internal statistical techniques and external market dynamics, embedding innovation and continuous improvement into all solutions Serve as a subject matter expert, sharing knowledge and building capability … across the trading analytics community Present analysis and recommendations to stakeholders, influencing high-impact commercial decisions About You Requirements Minimum of 3 years' experience in data science, ideally within a commercial or trading environment Proficiency in time series analysis, regression modelling, and forecasting techniques Strong experience with Python and core libraries for data science (e.g., pandas, NumPy, scikit-learn, statsmodels … Ability to manipulate and analyse large, complex datasets with attention to detail Clear, confident communicator who can explain analytics and influence commercial decisions Experience using visualisation tools like Power BI or Plotly Dash Proven ability to work independently in a fast-paced, high-stakes trading environment Desirable: Knowledge of global energy markets and trading operations Understanding of supply and demand More ❯

Senior Financial Crime Analytics Manager Up to £95,000 💸 Hybrid 🚗 London 🌆 The Company I’m hiring for a Senior Financial Crime Analytics Manager for a leading UK Financial Crime Consultancy. This is a newly created role designed to drive innovation and growth across their analytics function. You’ll be joining a high-performing team at the forefront of fraud & financial … crime prevention, leveraging AI and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: Leading a team of 10+ financial crime data scientists and analysts. Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics. Spearheading the development and go-to-market strategy for new AI … on new business and develop existing relationships Collaborating with senior leadership and clients to deliver impactful solutions. Your Skills and Experience: To be successful as a Senior Financial Crime Analytics Manager, you will need: Strong experience in financial crime or forensic analytics. Proven leadership experience managing technical teams. Deep understanding of Python and its application in financial crime analytics. Experience More ❯

Senior Financial Crime Analytics Manager Up to £95,000 💸 Hybrid 🚗 London 🌆 The Company I’m hiring for a Senior Financial Crime Analytics Manager for a leading UK Financial Crime Consultancy. This is a newly created role designed to drive innovation and growth across their analytics function. You’ll be joining a high-performing team at the forefront of fraud & financial … crime prevention, leveraging AI and machine learning to deliver cutting-edge solutions to clients. The Role As a Senior Financial Crime Analytics Manager, you will be: Leading a team of 10+ financial crime data scientists and analysts. Driving technical delivery across financial crime, fraud, conduct risk, and forensic analytics. Spearheading the development and go-to-market strategy for new AI … on new business and develop existing relationships Collaborating with senior leadership and clients to deliver impactful solutions. Your Skills and Experience: To be successful as a Senior Financial Crime Analytics Manager, you will need: Strong experience in financial crime or forensic analytics. Proven leadership experience managing technical teams. Deep understanding of Python and its application in financial crime analytics. Experience More ❯

of regulatory intelligence. About the role: As our Lead Data Scientist , you will play a pivotal role in shaping and delivering data-driven solutions that power our regulatory scanning, analytics, and generative AI capabilities. You'll take ownership of complex data science problems end-to-end, from framing business challenges with stakeholders, to deploying production-ready solutions. We're looking … will bring: Proven expertise in data processing and content generation at scale, particularly within AWS environments. A track record of leading teams, influencing stakeholders, and delivering impactful ML and analytics solutions. Strong problem-solving skills, with the ability to balance hands-on technical delivery and strategic leadership. Proven ability to work across multiple projects simultaneously, adapting quickly to changing priorities … looking for someone who is energized by that environment and excited to build data-driven capabilities that support real-world impact at scale. Data Modeling, Gen-AI and Predictive Analytics Design, build and maintain data pipelines for ingesting and processing large volumes of regulatory data from diverse sources, both structured and unstructured. Develop models for data categorization and content generation More ❯

meet the organisation's specific needs Develop business intelligence reports that can be automated, reused and shared with users directly Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems Build accessible data for analysis Deliver data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future-proof Investigate problems … experience with core AWS data services. Key services include: S3 for data lake storage AWS Glue for ETL and data cataloging Amazon Redshift or Athena for data warehousing and analytics Lambda for event-driven data processing. ETL/ELT pipeline development : experience in designing, building, and maintaining robust, automated data pipelines. You should be comfortable with both the theory and … CloudFormation Data modelling and warehousing: Dimensional Data Modeling : Deep understanding of data warehousing concepts and best practices. Experience of, and ability to, transform raw transactional data into well-structured analytics-ready datasets using schemas like the star schema (Kimball methodology) Data Quality & Governance : build trust in data by implementing data validation checks, testing frameworks, and clear documentation within your pipelines More ❯

meet the organisation's specific needs Develop business intelligence reports that can be automated, reused and shared with users directly Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems Build accessible data for analysis Deliver data solutions in accordance with agreed organisational standards that ensure services are resilient, scalable and future-proof Investigate problems … experience with core AWS data services. Key services include: S3 for data lake storage AWS Glue for ETL and data cataloging Amazon Redshift or Athena for data warehousing and analytics Lambda for event-driven data processing. ETL/ELT pipeline development : experience in designing, building, and maintaining robust, automated data pipelines. You should be comfortable with both the theory and … CloudFormation Data modelling and warehousing: Dimensional Data Modeling : Deep understanding of data warehousing concepts and best practices. Experience of, and ability to, transform raw transactional data into well-structured analytics-ready datasets using schemas like the star schema (Kimball methodology) Data Quality & Governance : build trust in data by implementing data validation checks, testing frameworks, and clear documentation within your pipelines More ❯

financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and … with AWS and cloud-native data services. Excellent communication and stakeholder management skills. Desirable Experience with crypto or digital asset data. Familiarity with regulatory and audit reporting. Exposure to analytics layers, BI tools, or observability platforms. More ❯

financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and … with AWS and cloud-native data services. Excellent communication and stakeholder management skills. Desirable Experience with crypto or digital asset data. Familiarity with regulatory and audit reporting. Exposure to analytics layers, BI tools, or observability platforms. More ❯

financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and … with AWS and cloud-native data services. Excellent communication and stakeholder management skills. Desirable Experience with crypto or digital asset data. Familiarity with regulatory and audit reporting. Exposure to analytics layers, BI tools, or observability platforms. More ❯

financial markets experience to lead the design and evolution of its core data platform. The role involves building scalable, reliable data systems supporting risk, P&L, regulatory reporting, and analytics across spot and derivatives trading. You’ll work closely with teams across Front Office, Risk, Finance, Operations and Compliance, taking hands-on ownership of the firm’s data architecture and … with AWS and cloud-native data services. Excellent communication and stakeholder management skills. Desirable Experience with crypto or digital asset data. Familiarity with regulatory and audit reporting. Exposure to analytics layers, BI tools, or observability platforms. More ❯

/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in More ❯

/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in More ❯

/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in More ❯

/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions Stay up-to-date … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly in More ❯

for infrastructure design , governance, and compliance frameworks. Oversee reporting and insights across Power BI and Omni (a modern BI tool similar to Looker), defining and standardising KPIs. Drive predictive analytics and machine learning initiatives, such as customer lifetime value and propensity modelling. Partner cross-functionally to support commercial teams - hospitality, retail, fan engagement, digital, and finance. Key projects on the … data tooling About you Proven leadership of data teams in modern cloud environments. Skilled in stakeholder management and translating data into commercial action. Experienced across data strategy, architecture, and analytics delivery. Comfortable working hands-on where needed, but equally confident shaping long-term direction. Ideally, you bring a fresh perspective from outside football . The setup Hybrid: 4 days per More ❯

DBA activities, alongside development & coding including PowerShell and service automation Development and testing of our software (in house built) Development and testing of our Power BI and Python-based analytics solutions Key skills and experience: Minimum 2:1 degree (or equivalent) in an IT, Engineering, Science or Mathematics You have a customer-oriented mentality, wanting to readily engage with the … to better understand their needs and functional outcomes You can cope with conflicting and changing priorities and have strong and proactive communication skills Desired Skills: Coding skills and data analytics knowledge - SQL would be ideal Computing terminology This is a real opportunity to join the company at the start of its journey with the obvious implications for growth, development and More ❯

data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while … purpose of credit analysts workflows. Drive discovery and prioritisation efforts to improve data robustness, annotation accuracy, and overall quality across datasets used for model evaluation and enhancements. Leverage data analytics and insights to uncover trends, identify gaps, and inform annotation methodologies that enhance model performance and user trust. Tackle complex annotation challenges with thoughtful solutions while enforcing strong data governance More ❯

we are hiring for Technical Data Architect location: Central London Type : Permanent Hybrid role (2-3 days from client location) We are seeking a highly skilled TechnicalData Architect- with expertise in Databricks, PySpark, and modern data engineering practices. The ideal More ❯

Principal Data Engineer - Core Systems Team Hybrid in London/Remote within UK The company Imagine a world where every small business has the power to thrive. That's the world we're building at iwoca. Small businesses aren't More ❯

knowledge and best-practices with clients, as well as internally Skills & Experience: Must have experience in energy, shipping or in the wider commodity/financial/trading or data & analytics sector Have experience in Customer Success, with proven record of partnering with customers on their needs Client-first mentality and track record of adoption, churn prevention and renewal success Several … success, sales or business development role (B2B SaaS experience a plus) Strong relationship building and relationship management skills First-class communication skills - verbal and written Experience using customer success analytics tools, including CRM systems; experience using data to inform decisions and with a measurement-orientated approach It would be great if you also: Have excellent engagement and influencing skills with … makers Have exceptional organisational skills, communication and active listening skills Have strong business acumen and problem-solving skills Are data-minded with an excellent ability to manipulate and organise analytics for decision making. An understanding of Python in business use, APIs, integration processes would be a bonus. Are results orientated with the ability to prioritise multiple objectives and work effectively More ❯

be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description What it's all about - Visa Consulting and Analytics (VC&A) drives tangible and impactful results for Visa's network clients, including financial service providers, merchants, and fintech companies. Drawing on our expertise in strategy consulting, data analytics, brand More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product modules for scalable … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate More ❯