U

United Overseas Bank

Regional bank offering data-driven financial solutions

Vice President SME Digital Banking Analytics - Group Wholesale Banking

Data ScienceConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • Relevant experience in digital, customer, product, marketing, or banking analytics, with demonstrated business impact.
  • Strong understanding of digital journeys, conversion funnels, customer segmentation, experimentation, and performance measurement.
  • Experience working with customer, transaction, product-usage, and digital-behavioral data.
  • Proficiency in SQL and at least one analytical tool such as Python, SAS, or R; experience with Power BI, Tableau, Qlik, or equivalent.
  • Ability to translate ambiguous business needs into implementable analytics products and executive-level recommendations.
  • Ability to use approved AI and automation tools pragmatically to improve analytics productivity, quality, and scalability.
  • Sound understanding of data governance, privacy, security, and analytical controls.

Responsibilities

  • Translate SME Digital Banking priorities into an analytics roadmap aligned with acquisition, activation, digital adoption, cross-sell, retention, customer experience, and cost efficiency.
  • Develop KPI frameworks and management insights for digital sales channel, digital onboarding, product usage, customer engagement, and ecosystem propositions.
  • Analyze end-to-end customer journeys using funnel, cohort, path, and behavioral analytics to identify friction, abandonment, unmet needs, and growth opportunities.
  • Build actionable customer segments, triggers, and next-best-actions using firmographics, lifecycle stages, cash-flow patterns, transactions, product holdings, and digital behavior.
  • Lead analytics for digital sales channels and other digital propositions across enablement, conversion, usage, revenue, margin, retention, and assisted-to-digital migration.
  • Develop the measurement framework for UOB BizSmart, covering customer discovery, solution adoption, engagement, retention, and contribution to deeper banking relationships.
  • Design controlled experiments across journeys, messages, offers, features, and channel treatments; prioritize incremental lift and net margin over gross response or raw propensity.
  • Convert recurring decisions into scalable analytics products following the lifecycle: Discovery, Experiment, Harden, Scale, Monitor, Refresh.
  • Use approved AI and automation tools to reduce manual reporting, accelerate data preparation and insight generation, improve management commentary, and enhance decision support, with appropriate validation and human oversight.
  • Partner with Digital, Product, Sales, Marketing, Finance, Risk, Operations, Technology, and Data teams to turn business problems into measurable interventions.
  • Ensure compliance with data quality, privacy, security, access, documentation, model, and responsible AI requirements.
  • Consolidate, automate, or retire reports that do not support a clear business decision or action.

About the Company

United Overseas Bank

Regional bank offering data-driven financial solutions

UOB provides financial services to people and businesses across ASEAN through a broad regional network and a single-bank model. It tailors products using data and relationship insights across personal banking, business banking, and wealth management, linking customers to opportunities in the region. Its approach combines an integrated, ASEAN-focused network with a commitment to responsible and sustainable outcomes that support growth. The goal is to help people and businesses in the region grow, while advancing inclusiveness and environmental well-being.

Company size
Not listed
Company stage
IPO
Headquarters
Singapore, Singapore
Founded
1935

Recently Posted Jobs

Explore more opportunities at United Overseas Bank

See more jobs