Decision Science Senior Analyst

Company DescriptionShawbrook provides finance to a wide range of customer segments that value the premium experience, flexibility and certainly we deliver. We are a purpose-led organisation, with a focus on delivering long-term sustainable value for all our stakeholders.We have a diversified offering, with our innovative lending propositions tailored to meet specific customer needs in carefully selected markets across SME, Real Estate and Personal. Our products range from complex structured credit facilities for growth-focused businesses to mortgages for professional landlords and property investors, as well as simple loans for consumers delivered digitally. We fuel our lending through customer deposits, which we attract by delivering a premium experience, choice and consistently great value to smart savers.The business model we have created is unique and difficult to replicate, with our ‘best of both’ approach combining deep human expertise with advanced digital, tech and data capabilities. This combination not only allows us to deliver excellent customer experiences, but to do so efficiently and at scale. We are proud of our innovative and agile culture, which drives consistently high employee engagement scores and makes Shawbrook an attractive destination for the best talent. If you’re willing to roll up your sleeves, contribute new ideas and believe anything is possible, you’re our kind of person.Work with us because you:Want to be part of a bank built for the dynamics of the modern worldRelish a challenge and enjoy a fast-paced, innovative and hardworking cultureEnjoy finding new and better ways to solve complexity and make things happenWant to belong to a diverse culture that stands shoulder to shoulder with minority and underrepresented groupsCare about society and the environment and want to be part of a business that cares tooWant to continue to grow professionally and be the best version of yourselfJob DescriptionThis is a technical analyst role within the Decision Science team, responsible for the supporting the BAU IFRS9 Process, generating the monthly outputs, coding up and testing model changes, maintaining well structured change logs and formats, investigating model movements and supporting performance queries and credit analysis.Key ResponsibilitiesOwn and deliver the BAU IFRS9 process, including timely production and validation of monthly outputsDevelop, implement, and rigorously test model changes, ensuring accuracy and robustness of codeMaintain clear, structured documentation and change logs to support governance and audit requirementsInvestigate model performance and movements, providing insights and supporting credit analysis and stakeholder queriesThis role will support our regulatory reporting and expansion as we acquire and engage in new business areas, and allow you to expand your analytical and coding skills whilst performing meaningful and varied analysis to support the bankThe key values of the role are:Personal - Establish constructive working relationship with stakeholders and colleagues across the bank including Group Risk, Finance, IT and the franchises.Personal - Be coachable and develop into a technical expert in our systems, knolwedge sharing with othersPractical - Have solid knowledge of general analytical processes, with experience in coding using SAS and Python, experience with credit reporting and modelling impairment and/or capital requirements methodologies.Creative – Write and manage evolving code with efficient and creative solutuions to be clear, repeatable and auditableQualificationsSkills & ExperienceProven experience in producing analytics in financial services or equivalentExperience writing production code to a high level of qualityA broad understanding of modelling techniques and capital and/or impairmentExperience in credit risk reportingTechnicalStrong SAS and Python skills, SQL experience would helpModelling and analytics skillsStrong Microsoft skills in Excel, Word and Power point. VBA experience would helpAbility to convert numbers to meaningful dataAnalytical background with modelling experience in some of: regression, econometrics, time series, simulations and optimization.InterpersonalPositive mindset and can-do attitudeSelf-starter and energizedDetermined to seek for solutions when facing challengesResolve challenges through collaboration and teamworkClear communication to business colleagues, good verbal and written skillsEffective as a team playerAbility to explain results to technical and non-technical colleaguesEffective time management and personal efficiencyAdditional InformationYour Wellbeing - We take your health and well-being very seriously by providing a range of benefits to give you and your family peace of mind. These include:Market leading family friendly policies such as access to our Maternity, Adoption and Paternity policies from Day 1 of your employmentFree access to Headspace, a mindfulness & meditation digital health appFree access to Peppy digital health app that offers personalised support through fertility treatment becoming a parent or menopauseEAP (Employee Assistance Programme) - Offering you support on a wide range of subjects including financial concerns, mental wellbeing and more general queries around family, work, housing, and healthCycle to work schemeDiscounts on gym membershipContributory pension scheme & death in serviceYour Lifestyle - It’s important you strike the right balance between your work and personal life. We provide benefits to support you when at work and when you’re enjoying your leisure time.Minimum of 27 days holiday per yearOption to buy or sell holiday days through our flexi-holiday schemeDiscounts on gym membership nationwideAccess to discounts on a range of high street and online brandsCommunity support and charitable givingYour Contribution - We’re focused on rewarding those that go the extra mile in helping us achieve our goals.Participation in our annual discretionary bonus scheme designed to reward your contribution to our successProudly Shawbrook recognition scheme focused on recognising our role models and thanking our colleagues for a job well doneSummaryType: Full-timeFunction: AnalystExperience level: AssociateIndustry: Financial Services

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