51 to 75 of 139 Scorecard Jobs in London

part of our second line of defence Credit Risk teams and ensure the credit risk models are fit for purpose (including IFRS 9, NPV, Stress Testing, ICAAP, Decision Science scorecards, economic response models). Review ongoing model performance monitoring to ensure the Borrowing models are performing within risk thresholds and provide support to the Borrowing model development team when further … and experience in credit models development and/or validation in some of the following areas: IFRS 9 (PD, EAD, LGD, economic response models), IRB, stress testing, decision science scorecards (including machine learning models), net present value, forecasting. You have strong analytical skills and a track record of using these to deliver technical projects and in-depth knowledge of statistical More ❯

through enhanced models, AI, and experimentation. THE ROLE You will be doing the following daily: Lead and cultivate a team of Data Scientists. Create and deploy credit models, mostly scorecards, working across unsecured consumer lending products. Identify new opportunities to improve data and analytic approaches. Work closely with the wider analytics team to improve the overall worth of the portfolio More ❯

through enhanced models, AI, and experimentation. THE ROLE You will be doing the following daily: Lead and cultivate a team of Data Scientists. Create and deploy credit models, mostly scorecards, working across unsecured consumer lending products. Identify new opportunities to improve data and analytic approaches. Work closely with the wider analytics team to improve the overall worth of the portfolio More ❯

templatesfor use by divisional Finance teams Develop variance analysis methodologiesto analyse and explain drivers of business performance Collaborate with Divisional stakeholders, to develop and write insightful performance commentary Automate scorecard and dashboard reporting Develop Power BI reportingoutputs and dashboards Candidate Profile: Strong commercial and analytical skills to explain drivers of business performance Ability to write clear management commentary Ability to 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 ❯

compliance and audit readiness. Assistwith the preparation of campaign wrap-up reports, quarterly business reviews (QBRs), and internal performance updates. Maintaininternal tracking documents (e.g., budget trackers, campaign calendars, weekly scorecards) to ensure operational efficiency and visibility. Supportthe conception, planning, and execution of digital media activations across Amazon. Assistin the development and refinement of a full-funnel marketing approach to accelerate More ❯

end testing (UAT). Develop and document end to end SOP model to support new reporting. Work with Project Manager to provide inputs into Working Groups, Project plans, RAIDs, Scorecards and senior management updates Ensure relationship is maintained with teams across Risk, Finance, Front office and Technology to ensure delivery of the FRTB deliverables. Provide regular updates to senior stakeholders More ❯

solutions. Governance and Reporting: Maintain and report on partner governance frameworks, including sales planning, customer bid reviews, and contractual alignment. Regularly update internal stakeholders on partner programs, incentives, partner scorecards and strategic priorities. Skills Knowledge and Expertise Knowledge: Deep understanding of the CX technology landscape, including cloud platforms and AI-driven solutions. Knowledge of partner ecosystems, particularly Genesys, AWS, and More ❯

functional teams to develop training materials, FAQs, and other resources for customer service representatives. 3. Implement related measures to assess the effectiveness of customer service interactions. Define evaluation criteria, scorecards, and performance metrics. Regularly evaluate customer service representatives' performance and provide actionable feedback to enhance their skills and improve customer satisfaction. 4. Collaborate with training and development teams to identify More ❯

functional teams to develop training materials, FAQs, and other resources for customer service representatives. 3. Implement related measures to assess the effectiveness of customer service interactions. Define evaluation criteria, scorecards, and performance metrics. Regularly evaluate customer service representatives' performance and provide actionable feedback to enhance their skills and improve customer satisfaction. 4. Collaborate with training and development teams to identify More ❯

presentations, content, and agendas for key meetings (e.g., Town Halls, workshops, employee engagement events). Support the VP and leadership team with management and administration of processes (goal setting, scorecard management, year-end performance reviews, talent assessments, investment planning, and business planning). Own and manage team budgets, ensuring accuracy of reporting & correct utilization of funds. Coordinate team training and More ❯

world. EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks. Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work More ❯

and closures. Facilitate Big Room Planning and Agile functions for the team, including capacity planning, tracking, and workload management, in partnership with Quad and QuadMed IT. Focus on IT Scorecard metrics and mentor team on establishing and performing proper infrastructure monitoring to proactively mitigate issues and maintain uptime. Support the team in troubleshooting and performing root cause analysis to resolve More ❯

assigned domain. Platform Health & Configuration Strategy Conduct comprehensive configuration audits—reviewing tagging frameworks, governance models, automation rules, permissions, routing, and taxonomy alignment. Deliver structured health check readouts and platform scorecards to customer stakeholders, paired with prioritized recommendations for improvement. Lead platform re-architecture efforts where needed to optimize scalability, usability, and performance. Inte gration Architecture & Data Flow Understand integrations with More ❯

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our More ❯

Press Tab to Move to Skip to Content Link We are a technology powerhouse that designs, engineers, and manufactures the world's most advanced automotive technology and hypercars. Bytes to bolts, Rimac is where everything happens. Our teams develop and More ❯

who are focused on delivering both savings, mortgages, business banking, and motor finance to their customers. This role will be sitting in the 2nd line delivering portfolio insights, developing scorecard models, overseeing model implementation, and developing lending strategies. The Role As a Senior Credit Portfolio Analyst, you will be: Developing and implementing credit risk strategies across different portfolios with the … focus on mortgages. Developing scorecards for originations/acquisitions Implementation of scorecard models for the business Overseeing the model development and implementation across the banks portfolios Analysis of portfolio trends for actional insights for senior stakeholders Using SAS and Python daily in this role. Your skills and experience For you to be successful as a Senior Credit Portfolio Analyst, you … will need: Strong experience working as a credit risk analyst for another bank/fintech Experience using SAS and ideally python Experience developing or working on scorecard models Strong communication and teamwork skills. Up to £70,000 + competitive benefits package #J-18808-Ljbffr More ❯

Social network you want to login/join with: An established purpose-driven financial services provider is hiring a Lead Credit Scorecard Modeller to develop its credit decisioning and portfolio analytics capabilities. Reporting directly to the CRO, this role combines hands-on modelling with strategic input into credit risk and acquisition strategies. THE COMPANY This UK-based organisation delivers lending … outcomes, making it an exciting opportunity for someone looking to apply credit risk expertise in a values-driven setting. THE ROLE The responsibilities include: Leading end-to-end credit scorecard development: data preparation, modelling, variable selection, testing, and implementation Monitoring model performance and building dashboards to track KPIs and identify areas for improvement Analysing portfolio trends and providing strategic input … as Open Banking and credit bureau data into strategy and modelling Ensuring full documentation and compliance with relevant model governance standards SKILLS AND EXPERIENCE 4+ years' experience building credit scorecards from scratch Advanced knowledge of logistic regression and credit modelling techniques Experience with model monitoring and portfolio performance analysis Strong technical skills in Python, SQL, SAS and R Strong communication More ❯

in enhancing and maintaining the integrity of cybersecurity operations through effective data analysis, reporting, and cross-functional collaboration. The successful candidate will contribute to the development and execution of scorecards and governance reporting tied to CIM and TVM programs. This includes evaluating program compliance with internal security standards and producing high-quality reports for distribution to executive leadership, committees, and … role is based onsite in Edinburgh. Key Responsibilities: Develop and maintain regular reporting on CIM and TVM governance performance and compliance. Analyze and enrich data for use in dashboards, scorecards, and governance indicators. Collaborate with internal teams and external partners to support governance-related functions. Assist with distributing governance reports across organizational leadership and forums. What You Bring: Deep understanding More ❯

lifecycle processes, encryption standards, and compliance with internal information protection policies. As a KCEM Governance Analyst, you will be responsible for collecting, analysing, and enriching data to support governance scorecards and reporting indicators. You will contribute to the visibility and accountability of KCEM processes through regular reporting and active engagement with internal teams and third-party vendors. Key Responsibilities: Produce More ❯

A master’s degree in Finance, Economics, Mathematics, Statistics, Engineering or Computer Science from a reputable university. Strong professional interest in the fields of retail and corporate credit risk, scorecard methods, internal ratings-based models, model validation, as well as UK and European regulatory standards underpinning these areas. Significant credit risk experience gained ideally from a major financial institution, another More ❯

role would suit somebody from a modelling background with relevant experience of other aspects of Credit Risk . Key Responsibilities: Own a suite of Credit Risk models - including application scorecards, PD models and IFRS9/ECL models. Primarily existing models, but you should be able to build bespoke models from scratch when required. Ensure the timely delivery of routine and 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 ❯

management regularly to share updates on projects and ensure they are on track • Developing reports based on data analysis and providing recommendations for action • Develop dashboards, customized reports and scorecards based on business requirements • Collaborate with the rest of the Data Services Global teams to gather requirements from business and translate them into technical solutions. • Build compelling story, new product More ❯