VP, Analytics Assurance,Group Compliance

About UOBUnited Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.Job DescriptionModel validationIndependently validate Anti-Financial Crime (AFC) models in accordance with the bank’s model validation standards, producing comprehensive reports that document findings and actionable recommendationsEvaluate the robustness of model design, development methodology, and data integrity. Conduct thorough reviews of development code to ensure alignment with documented methodologies and resultsReview and assess follow-up actions taken by model owners in response to issues identified in prior validationsCommunicate validation outcomes clearly and effectively to management and stakeholders, translating technical findings in non-technical languageCollaborate with regional teams to prepare regular reports on model performance for senior managementActively participate in the enhancement of model validation standards and frameworksTeam contributionsStay informed on evolving regulatory requirements, industry best practices, and analytical advancements in AFC risk management. Propose updates to model development standards in consultation with the team leadAssist in the planning and coordination of the model validation calendarSupport initiatives related to systems, infrastructure and databases used for analytic projectsRequirementsUndergraduate degree in a quantitative field, with 5 –8 years of experience in analytics / technology domain, and preferably 2 –3 years of experience in advanced data analyticsPrior experience working on large-scale analytics projectsExperience in or familiarity with analytics related to AFC/AML/compliance risksStrong ability to communicate complex technical findings clearly and effectively, tailored to both technical and non-technical audiencesDemonstrated capability to manage multiple concurrent projects in a fast-paced environmentTechnical SkillsProficiency in Python and / or R for data science, with practical knowledge of data wrangling and machine learning libraries (e.g., Pandas, Keras, Tensorflow, Sklearn)Proficiency in querying and visualization tools such as SQL and Qlik will be an advantageComfortable working with structured and unstructured data and distributed databasesFamiliar with natural language processing and network link analysisFamiliar with model development and validation best practicesAdditional RequirementsDevelop, Engage, Execute, StrategiseBe a Part of the UOB FamilyUOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.Apply now and make a Difference