1 to 25 of 57 Scorecard Jobs in London

internal audit findings and enterprise risk management protocols Collaborate with security champions and engineering leads to embed secure development practices. Track and report on agile squad productivity using automated scorecards and Kanban views Required Skills/Experience Proven experience as a Senior Project Manager and Scrum Master in enterprise environments. Strong understanding of Agile frameworks (Scrum, Kanban) and DevSecOps principles. 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 ❯

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 ❯

on delivering business results What we're looking for At least 7+ years experience in a deeply analytical role, ideally within SME or retail lending environment Strong understanding of scorecard modelling/predictive analytics/machine learning Ph.D. in a quantitative field (Finance, Mathematics, Economics, Engineering ) Excellent quantitative skills, with very strong strategic thinking Strong leadership skills and ability to 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 ❯

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 ❯

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 ❯

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 ❯

is continuing to grow whilst driving impact in your work at the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across More ❯

is continuing to grow whilst driving impact in your work at the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across More ❯

is continuing to grow whilst driving impact in your work at the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across More ❯

is continuing to grow whilst driving impact in your work at the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across More ❯

Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. 2+ years of data science leadership More ❯

Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. 2+ years of data science leadership More ❯

surveys by over-claiming attributes. Your Contribution Work with fraud analysts to understand patterns in historic and real-time data. Build and automate anomaly detection models and a fraud scorecard to flag invalid responses. Improve survey yield, efficiency , and data quality using statistical and machine learning techniques. Attend whiteboarding and strategic sessions twice weekly (on-site in Reading or London More ❯