Job Description

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.About the DepartmentUOB Private Bank
is dedicated to managing the wealth of high-net-worth individuals with investment assets of $5million and above. Keeping in mind our clients\' financial objectives, we provide tailored products and solutions that draw on theGroup\'s comprehensive suite of personal, business and investment services.We are seeking to hire outstanding individuals for its Segment Insights & Digital Engagement team. The team is accountable for the design, development and execution of analytics-driven strategies to drive business growth, operational efficiency and superior client experiences. The candidate should have a background in the financial services domain and is expected to bring technical data science and analytics expertise to solve complex problems and unlock business value. The candidate should also have prior experience in managing client segments, campaign management and digital engagement.Job Responsibilities

• Support the development of holistic data science strategic projects and initiatives aimed at driving operational efficiencies, accelerate new ways of working, and implement data driven solutions aligned to the wider Private Bank business strategy.
• Leverage the use of data and advanced analytics to design and build predictive models and dynamic client segmentation targeting that will uncover gaps and opportunities within a Relationship Manager\'s (RM) portfolio, generating actionable insights that will translate to improved RM productivity.
• Provide advisory support to business stakeholders in identifying data trends, patterns and insights on our customers and business operations.
• Provide advisory support to business stakeholders to develop and execute client centric campaigns and engagement activities
• Support the build and implementation of data models, solution development, initiative operationalization and scalability.
• Design, develop and implement data strategies and analytical modelling to develop logical client segments, and rollout novel campaigns to drive digital engagement and improve client experience.
• Establish clear success measures to monitor and track efficacy of advanced analytics projects, and digital campaigns to facilitate continuous improvement.

Job RequirementsWho are we looking for

• Goal oriented, resourceful self-starter with strong interpersonal and networking skills.
• Thrive in a fast-paced environment, work independently, prioritise deliverables to meet timelines efficiently, and able to adapt to changes in priorities quickly.
• Strategic thinker, pragmatic executor - able to conceptualise, develop, and deliver strategic initiatives aimed at increasing revenue, improving operational efficiencies and promoting growth.
• Analytical mindset with strong business acumen - able to proficiently understand, structure and articulate complex technical concepts in a clear and actionable manner to non-technical stakeholders.
• Excellent presentation skills, including strong oral and writing capabilities.
• Stellar stakeholder management.

Education / Experience Requirements

• Degree in Data Science, Computer Science, Statistics or a related field preferred.
• At least 5 years of experience within a data science, data analytics, business intelligence role.
• At least 3 years of experience managing client segments, campaign management, and digital engagement.
• Understanding of business models, data dictionaries and to be able to query data using an SQL tool is mandatory.
• Knowledge of advanced analytics and BI tools like Qlik, MS BI, R and Tableau is a strong plus.
• Excellent presentation and written communication skills with strong interpersonal skills.

Be a part of 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.Apply nowStartPlease wait...

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