8 of 8 Trend Analysis Jobs in London

data driven changes to these, including system tuning, to increase both the efficiency and effectiveness of these systems Accountabilities and Responsibilities Conduct proactive data analysis to identify emerging threats, behavioural patterns and potential production issues, enabling early intervention to reduce attempted fraud and criminal activity. Liaise with Technology teams … projects and new initiatives within the Fraud Payment Screening domain, ensuring analytical insight informs design and implementation. Perform rule threshold reviews, tuning and data analysis , including trend analysis, rule design, development, testing, volume analysis, documentation, and presentation of findings. Assist in the creation of management information ...

data driven changes to these, including system tuning, to increase both the efficiency and effectiveness of these systems Accountabilities and Responsibilities Conduct proactive data analysis to identify emerging threats, behavioural patterns and potential production issues, enabling early intervention to reduce attempted fraud and criminal activity. Liaise with Technology teams … projects and new initiatives within the Fraud Payment Screening domain, ensuring analytical insight informs design and implementation. Perform rule threshold reviews, tuning and data analysis , including trend analysis, rule design, development, testing, volume analysis, documentation, and presentation of findings. Assist in the creation of management information ...

single source of truth. Source Control GitHub (or equivalent): managing BI code, TMDL definitions, and deployment pipelines with branching, review, and release workflows Statistical Analysis R or Python for descriptive and inferential statistics, trend analysis, variance analysis, and data exploration in support of commercial insight Construction … Knowledge Working understanding of construction commercial processes: CVRs, cost-to-complete, revenue recognition, margin analysis, subcontractor accounts. Familiarity with programme management data: float, critical path, earned value, and how reported progress relates to reality on site. Awareness of how construction projects are financially structured: prelims, measured works, variations, provisional ...

data and reporting responsibilities. What You’ll Be Doing: Owning BAU analytics and reporting: recurring KPI packs, portfolio/credit performance reporting, trend analysis, and stakeholder updates Building and maintaining clean, analysis-ready datasets from messy real-world sources (portfolio, transaction, performance, behavioural and macro/market … ensuring outputs are reproducible Developing scalable data workflows in SQL + Python (ingestion, cleaning, transformation, QA) Improving data quality: reconciliation, anomaly detection, root-cause analysis, and automated checks Building and maintaining dashboards for multiple stakeholders, ensuring data is accurate, timely, and clearly presented Collaborating with data science/engineering ...

experience in monitoring, validating, and improving reporting data. Key responsibilities: Support daily and weekly data quality checks and exception monitoring Assist with root cause analysis and remediation tracking Produce MI reports, dashboards, and trend analysis Validate reporting outputs using platforms such as Kaizen, UnaVista, DTCC, and TradeEcho ...

operation of business-critical applications within agreed SLAs Provide SME input into application design, change and continuous improvement initiatives Conduct proactive trend analysis and contribute to Problem Management Build effective relationships with internal stakeholders and strategic suppliers Support shift roster arrangements to ensure appropriate application coverage Qualifications: ITIL ...

management of UK cyber incidents throughout the full incident lifecycle Drive effective and timely containment of cyber incidents Report on incidents and perform trend analysis to improve KPIs and detection & response times Coordinate incidents and build effective working relationships with global colleagues, 2nd line stakeholders, and wider technology ...

scalable data model Implement robust governance frameworks that promote data accuracy, accountability, and a true “single source of truth” Use data insights and trend analysis to proactively identify risks, inefficiencies, and opportunities for improvement Oversee resolution of complex data and integration issues, working closely with internal and external ...