1 to 25 of 61 Permanent Scorecard Jobs in London

Legal, Privacy, Risk) and ongoing contract administration. Supports and monitors supplier adherence to contracts, manage suppliers via supplier activity reporting and business/performance reviews, support and conduct supplier scorecards, supplier rationalization and demand management opportunities. Manages and supports regulatory and compliance requirements (e.g. OFAC, FCPA, Spend Analysis, Client Relationships). Supports and helps present Procurement performance metrics and projects More ❯

Legal, Privacy, Risk) and ongoing contract administration. Supports and monitors supplier adherence to contracts, manage suppliers via supplier activity reporting and business/performance reviews, support and conduct supplier scorecards, supplier rationalization and demand management opportunities. Manages and supports regulatory and compliance requirements (e.g. OFAC, FCPA, Spend Analysis, Client Relationships). Supports and helps present Procurement performance metrics and projects More ❯

Legal, Privacy, Risk) and ongoing contract administration. Supports and monitors supplier adherence to contracts, manage suppliers via supplier activity reporting and business/performance reviews, support and conduct supplier scorecards, supplier rationalization and demand management opportunities. Manages and supports regulatory and compliance requirements (e.g. OFAC, FCPA, Spend Analysis, Client Relationships). Supports and helps present Procurement performance metrics and projects More ❯

Legal, Privacy, Risk) and ongoing contract administration. Supports and monitors supplier adherence to contracts, manage suppliers via supplier activity reporting and business/performance reviews, support and conduct supplier scorecards, supplier rationalization and demand management opportunities. Manages and supports regulatory and compliance requirements (e.g. OFAC, FCPA, Spend Analysis, Client Relationships). Supports and helps present Procurement performance metrics and projects More ❯

range of leaders and stakeholders. Research new data sources to advise on costs/benefits of lending decisions. YOUR SKILLS AND EXPERIENCE Must have credit modelling experience, focusing on scorecards or predictive models. Previous experience in the credit/lending industry. Excellent analytical skills, with strong skills in Python, and SQL. Strong knowledge of the credit industry, including products, data More ❯

MI and Analytics roadmap. Maintain and evolve regular MI reporting for internal committees and boards. Automate data and reporting processes to increase efficiency across departments. Build dashboards, reports, and scorecards using Tableau and other tools. Collaborate with internal teams and external partners to enhance data outputs. Contribute to wider data initiatives including process improvements and new data source development. What More ❯

from large, complex datasets. Advanced proficiency in Python and SQL, including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn. Skilled in developing and deploying credit risk models, including scorecard thresholds, limit optimisation, and loss reduction. Experience with Monte Carlo simulations or Bayesian modelling (e.g., PyMC3) is a plus. Strong communication skills, with the ability to convey complex analysis to More ❯

SSO rollout, EOL upgrades, and security alert monitoring. Working with engineers, InfoSec and product to align on audit and risk prioritiesTracking progress via Jira/Kanban views and productivity scorecards What you'll need: Strong experience in Agile PM/Scrum Master roles in enterprise environments Solid understanding of Scrum, Kanban, DevSecOps Exposure to secure CI/CD, infrastructure as More ❯

through system workflows, reducing administrative burden and improving efficiency Reporting & Analytics Design, develop, and maintain custom Workday reports (simple, advanced, composite). Build and maintain calculated fields, dashboards, and scorecards for HR and leadership use. Deliver recurring and ad hoc workforce analytics reports (e.g., headcount, turnover, DEI metrics) Partner with HR leadership to translate data into strategic insights Ensure data More ❯

environmental and social data and scoring methodologies. This role will oversee a team of analysts and data scientists, driving the creation of high-quality, robust, and transparent datasets and scorecards to inform ESG strategy, risk management, and stakeholder reporting. You will lead by example in understanding data management practices and the broader environment in which the team operates. We expect More ❯

objectives and transform their processes using Anaplan Identify customer pain points and guide them on how Anaplan can address their specific needs Lead Quarterly Success Reviews (QSRs), presenting Success Scorecards to executive sponsors and stakeholders Expand Anaplan usage by conducting workshops to promote new use cases, leading to upsell or cross-sell opportunities Build and maintain strong relationships with customers More ❯

and through governance committees. We need you to have Experience with model development and/or model validation, ideally related to at least one of the following areas: IRB, Scorecards, IFRS 9, Stress Testing, Climate Risk, Fraud, Financial Crime, Econometrics. Highly analytical with a numerate degree or equivalent technical experience. Advanced knowledge of at least one programming language, e.g., Python More ❯

Lead the upward reporting of omnichannel performance across the EU, providing regular updates and executive-ready reports and presentations. Reporting to International and Market Leadership Teams Own CIQ Success Scorecard, tracking KPIs on digital shelf health, share of search, content compliance, and conversion rates. Ensure consistency and quality of reporting by reporting data accuracy issues across platforms and vendors. Monitor More ❯

models aligned with technology and operating model goals Lead the end-to-end RFP process: from requirements definition through to evaluation, vendor selection, and negotiation Develop cost models, performance scorecards, and selection criteria Drive value through renegotiation, rationalisation, and alternative sourcing models (offshoring, multi-vendor, managed service) Provide thought leadership on sourcing trends and vendor ecosystem shifts Have full accountability More ❯

models aligned with technology and operating model goals Lead the end-to-end RFP process: from requirements definition through to evaluation, vendor selection, and negotiation Develop cost models, performance scorecards, and selection criteria Drive value through renegotiation, rationalisation, and alternative sourcing models (offshoring, multi-vendor, managed service) Provide thought leadership on sourcing trends and vendor ecosystem shifts Have full accountability More ❯

models aligned with technology and operating model goals Lead the end-to-end RFP process: from requirements definition through to evaluation, vendor selection, and negotiation Develop cost models, performance scorecards, and selection criteria Drive value through renegotiation, rationalisation, and alternative sourcing models (offshoring, multi-vendor, managed service) Provide thought leadership on sourcing trends and vendor ecosystem shifts Have full accountability More ❯

models aligned with technology and operating model goals Lead the end-to-end RFP process: from requirements definition through to evaluation, vendor selection, and negotiation Develop cost models, performance scorecards, and selection criteria Drive value through renegotiation, rationalisation, and alternative sourcing models (offshoring, multi-vendor, managed service) Provide thought leadership on sourcing trends and vendor ecosystem shifts Have full accountability More ❯

to the roadmap. Use data to identify key trends in varying customer segments, and adapt the online offering to respond to these trends. Evolve and further embed a digital scorecard based approach, working in conjunction with the internal functional teams of Customer Experience, Commercial & Delivery, amongst others, to create a truly joined-up, optimised, digital space. Experience, Knowledge and Qualifications More ❯

to the roadmap. Use data to identify key trends in varying customer segments, and adapt the online offering to respond to these trends. Evolve and further embed a digital scorecard based approach, working in conjunction with the internal functional teams of Customer Experience, Commercial & Delivery, amongst others, to create a truly joined-up, optimised, digital space. Experience, Knowledge and Qualifications More ❯

to the roadmap. Use data to identify key trends in varying customer segments, and adapt the online offering to respond to these trends. Evolve and further embed a digital scorecard based approach, working in conjunction with the internal functional teams of Customer Experience, Commercial & Delivery, amongst others, to create a truly joined-up, optimised, digital space. Experience, Knowledge and Qualifications More ❯

to the roadmap. Use data to identify key trends in varying customer segments, and adapt the online offering to respond to these trends. Evolve and further embed a digital scorecard based approach, working in conjunction with the internal functional teams of Customer Experience, Commercial & Delivery, amongst others, to create a truly joined-up, optimised, digital space. Experience, Knowledge and Qualifications More ❯

journal clubs. Our team's objectives The data science team develops proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations efficiency. Research new data sources and unstructured data representation. Data scientists work across the business in a multidisciplinary capacity More ❯

strategic technology negotiations including comprehensive contractual agreements to deliver cost, lead time and capacity objectives for the organization. Implement supply chain, inventory and process improvements through supplier performance metrics, scorecards, business continuity plans and regular reviews. Manage contract approvals and signature execution processes. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building More ❯

journal clubs. Our team's objectives The data science team develops proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations efficiency. Research new data sources and unstructured data representation. Data scientists work across the business in a multidisciplinary capacity More ❯

or product features to drive growth and efficiency, and sharing customer feedback with our product team. Delivering meaningful and tailored responses to customers , assessed against Lendable's quality assurance scorecard Escalating risks or potential risks which may negatively impact good customer outcomes. Identifying and recording customer dissatisfaction against Lendables processes and responding appropriately to achieve complaint resolution , where complaint resolution More ❯