About the RoleThe Senior Quantitative Credit Risk Manager will lead the development and implementation of advanced quantitative models for credit risk management. This role involves leveraging statistical techniques, financial modelling, and data analytics to assess and mitigate credit risk. The successful candidate will work closely with cross-functional teams to ensure robust risk management practices are in place, enhancing the organization's risk assessment capabilities and contributing to informed decision-making.Please note : we are not able to offer visa sponsorship for this positionResponsibilitiesModel Development and Validation: Design, develop, and validate complex quantitative models for credit risk assessment, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models.Conduct regular model performance monitoring and back-testing to ensure accuracy and reliability.Document model development processes and validation outcomes in compliance with regulatory standards.Risk Assessment and Analysis: Analyze large datasets to identify trends, patterns, and potential risk exposures.Perform stress testing and scenario analysis to evaluate the impact of various economic conditions on credit portfolios.Develop and enhance credit risk metrics and reporting frameworks to provide actionable insights to senior management.Regulatory Compliance: Ensure models and risk management practices comply with relevant regulatory requirements, including Basel III, IFRS 9, and other applicable guidelines.Prepare documentation and reports for regulatory submissions and audits.Stay abreast of regulatory changes and industry best practices to ensure ongoing compliance.Stakeholder Collaboration: Collaborate with risk management, finance, and business units to integrate credit risk models into strategic decision-making processes.Present findings, recommendations, and risk assessments to senior leadership and external stakeholders.Provide technical guidance and mentorship to junior analysts and team members.Continuous Improvement: Identify opportunities for process improvements and implement best practices in quantitative credit risk management.Stay current with advancements in quantitative finance, risk management techniques, and industry trends.Participate in relevant industry forums, conferences, and professional development activities.QualificationsEducation: Master's or Ph.D. in Quantitative Finance, Statistics, Economics, Mathematics, or a related field.Experience: Minimum of 7-10 years of experience in quantitative credit risk modeling and risk management within the financial services industry.Proven track record of developing and validating credit risk models, including PD, LGD, and EAD.Experience with regulatory frameworks such as Basel III and IFRS 9.Technical Skills: Proficiency in statistical software and programming languages such as R, Python, SAS, or MATLAB.Strong analytical skills with the ability to manipulate and analyze large datasets.Familiarity with database management and data visualization tools (e.g., SQL, Tableau, Power BI).Other Skills: Excellent communication and presentation skills, with the ability to convey complex concepts to non-technical audiences.Strong problem-solving abilities and attention to detail.Demonstrated leadership and project management skills.Pay range and compensation package: £80,000 - £120,000 basic salary depending on experience