701 to 725 of 3,233 Analytics Jobs in London

Job Title: Pricing Model Validation Analyst Location: London Department: Model Validation/Quantitative Analytics Reporting to: Head of Model Validation Overview: An international investment bank is seeking a Pricing Model Validation professional to join its London-based Model Validation team. This role focuses on the independent review and validation of pricing and risk models used across the firm’s trading More ❯

Job Title: Pricing Model Validation Analyst Location: London Department: Model Validation/Quantitative Analytics Reporting to: Head of Model Validation Overview: An international investment bank is seeking a Pricing Model Validation professional to join its London-based Model Validation team. This role focuses on the independent review and validation of pricing and risk models used across the firm’s trading More ❯

technology training Apply today to join a network of expert trainers and help shape the future of AI education in the UK. As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full More ❯

Experience & Skills Proven experience as a Salesforce Administrator. Salesforce Admin Certification (required); additional certifications (Sales Cloud, Service Cloud, Developer) are a plus. Experience with AI tools such as Einstein Analytics, Tableau CRM, ChatGPT integrations, or similar. Ability to build custom apps, formula fields, workflows, and automate complex processes. Strong analytical and data visualization skills. Comfortable working in a fast-paced More ❯

Experience & Skills Proven experience as a Salesforce Administrator. Salesforce Admin Certification (required); additional certifications (Sales Cloud, Service Cloud, Developer) are a plus. Experience with AI tools such as Einstein Analytics, Tableau CRM, ChatGPT integrations, or similar. Ability to build custom apps, formula fields, workflows, and automate complex processes. Strong analytical and data visualization skills. Comfortable working in a fast-paced More ❯

Hybrid Working My client is a leading global private markets investment firm seeking a Transaction Management Associate to join their growing Data Integrity function within the newly established Data & Analytics team. This is a hands-on, data-centric role focused on managing complex investment and investor transaction data across private equity, private credit, infrastructure, and multi-asset strategies. The Transaction More ❯

Hybrid Working My client is a leading global private markets investment firm seeking a Transaction Management Associate to join their growing Data Integrity function within the newly established Data & Analytics team. This is a hands-on, data-centric role focused on managing complex investment and investor transaction data across private equity, private credit, infrastructure, and multi-asset strategies. The Transaction More ❯

KQL- sought by investment bank based in London. Inside IR35 - 3 days a week on-site Key Responsibilities SIEM Management & Optimization: Design, implement, and maintain Microsoft Sentinel workspaces, connectors, analytics rules, and playbooks Develop advanced KQL queries for threat hunting and reporting Optimize SIEM performance, cost, and data retention policies Troubleshoot log ingestion and parsing issues Log Source Integration: Onboard More ❯

tracking across operations Presenting actionable insights to technical and non-technical stakeholders Contributing to strategic roadmaps and operational planning What they're looking for: 5-8 years' experience in analytics, ideally within fast-paced or scaling businesses Strong Python and SQL skills (Python preferred) Experience handling complex, messy, or legacy datasets Exposure to logistics, marketplaces, transport, or similar domains is More ❯

KQL- sought by investment bank based in London. *Inside IR35 - 3 days a week on-site** Key Responsibilities SIEM Management & Optimization: Design, implement, and maintain Microsoft Sentinel workspaces, connectors, analytics rules, and playbooks Develop advanced KQL queries for threat hunting and reporting Optimize SIEM performance, cost, and data retention policies Troubleshoot log ingestion and parsing issues Log Source Integration: Onboard More ❯

you will be responsible for some of the following areas: Lead the design and implementation of AI-driven solutions Build and optimise data models and databases to support advanced analytics Drive automation initiatives to improve operational efficiency across the business Extract and deliver commercial insights from varied data sources to support decision-making Mentor junior team members and promote best More ❯

rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors including asset management, banking, retail, telecoms, supply chain, and utilities More ❯

data analysing will be a plus.Top 3 non-negotiable skills:· SQL· Python· Data Modelling, visualization - Tableau, micro strategy etc. and integration tools: Azzure data factory, airflow etc. – 5+ years· Analytics More ❯

you will be responsible for some of the following areas: Lead the design and implementation of AI-driven solutions Build and optimise data models and databases to support advanced analytics Drive automation initiatives to improve operational efficiency across the business Extract and deliver commercial insights from varied data sources to support decision-making Mentor junior team members and promote best More ❯

personnel to deliver on a roadmap, ensuring alignment with our strategic goals as defined by the Head of Customer Data Operations. Collaboration: Work closely with business units, IT, and analytics teams to understand data needs and deliver timely solutions. Monitoring & Reporting: Implement monitoring tools and dashboards to track data flow, system performance, and issue resolution. Security & Compliance: Ensure data security More ❯

personnel to deliver on a roadmap, ensuring alignment with our strategic goals as defined by the Head of Customer Data Operations. Collaboration: Work closely with business units, IT, and analytics teams to understand data needs and deliver timely solutions. Monitoring & Reporting: Implement monitoring tools and dashboards to track data flow, system performance, and issue resolution. Security & Compliance: Ensure data security More ❯

personnel to deliver on a roadmap, ensuring alignment with our strategic goals as defined by the Head of Customer Data Operations. Collaboration: Work closely with business units, IT, and analytics teams to understand data needs and deliver timely solutions. Monitoring & Reporting: Implement monitoring tools and dashboards to track data flow, system performance, and issue resolution. Security & Compliance: Ensure data security More ❯

with engineers, architects, and product teams to make sure data is structured, scalable, and future-proof. What you’ll be doing: Designing conceptual, logical, and physical data models for analytics and streaming Defining architecture standards and best practices Collaborating with engineers, architects, and stakeholders to align data models with business needs Leading on data integration, transformation, and migration strategies Owning More ❯

with engineers, architects, and product teams to make sure data is structured, scalable, and future-proof. What you’ll be doing: Designing conceptual, logical, and physical data models for analytics and streaming Defining architecture standards and best practices Collaborating with engineers, architects, and stakeholders to align data models with business needs Leading on data integration, transformation, and migration strategies Owning More ❯

a fast-paced, regulated environment (bank, fintech, or Big Four firm preferred) Understanding of the IIA's Financial Services Code and the International Professional Practice Framework Comfortable using data analytics in audits Relevant certifications such as CISA, CSSP, or CIA Exposure to emerging technologies (AI, ML, RPA) and associated risk assessments InterQuest Group is acting as an employment agency for More ❯

techniques to target specific audience groups and personalise marketing messages. Stay updated with the latest Salesforce Marketing Cloud features and best practices. Conduct A/B testing and leverage analytics to drive continuous improvement. Develop and maintain documentation for processes and configurations. Core skill set: Experience in Salesforce Marketing Cloud, including Email Studio, Automation Studio, Journey Builder, Social Studio, Mobile More ❯

a fast-paced, regulated environment (bank, fintech, or Big Four firm preferred) Understanding of the IIA’s Financial Services Code and the International Professional Practice Framework Comfortable using data analytics in audits Relevant certifications such as CISA, CSSP, or CIA Exposure to emerging technologies (AI, ML, RPA) and associated risk assessments InterQuest Group is acting as an employment agency for More ❯

detailed reports and dashboards for management and regulators. Act as liaison between control testing and other business units, presenting findings and supporting audits. Promote continuous improvement through automation and analytics, and foster a risk-aware culture by training control owners. Requirements 7-10 years of experience in control testing, operational risk, internal audit, or compliance within a regulated FinTech or More ❯

others effectively to ensure timely and value-added delivery. Technical knowledge: Data Management practices and Data Management tools (Cloud native or other) e.g. Collibra, Snowflake; Google’s Dataplex Data Analytics practices and tools AI Governance Frameworks, laws and regulations (including intersection with data privacy laws and regulations) Understanding of emerging AI technologies and practices More ❯