Analytics & Insight Lead

About UOB

United 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 Responsibilities

1. Leadership & Strategy

• Lead and mentor a team of data analysts and specialists to deliver impactful insights.

• Define analytics roadmap aligned with business priorities and transformation objectives.

• Champion data-driven culture and best practices across the organization.

2. Project Management

• Manage end-to-end delivery of data projects, including scoping, planning, execution, and stakeholder communication.

• Ensure timely delivery of dashboards, reports, and advanced analytics solutions.

• Collaborate with cross-functional teams (Technology, business units, Risk and Compliance) to ensure data integrity and security.

3. Analytics & Insights

• Translate business requirements into analytical models and actionable insights.

• Develop and maintain KPIs, performance dashboards, and predictive models.

• Provide recommendations to optimize processes, improve customer experience, and drive revenue growth.

• Identify, design, and implement enhancements for internal process related to data (e.g., optimizing data delivery, re-designing infrastructure for greater scalability) to improve data reliability, efficiency, and quality.

• Performs data analysis required to troubleshoot data related issues and support the resolution of raised data issues.

• Support UOBV in adopting and/or migrating to new production environment, if needed.

4. Governance & Quality

• Implement data governance standards and ensure compliance with regulatory requirements.

• Monitor data quality and accuracy across all analytics outputs.

5. Tools & Technology

• Oversee adoption and optimization of BI tools (e.g., Power BI, Tableau, Qlik) and data platforms.

• Stay updated on emerging analytics technologies and methodologies.

Other tasks as assigned by PMO and Transformation Head from time to time

• Bachelor’s degree, or equivalent, Computer Science, Engineering, IT, Statistics, Mathematics, Business Analytics etc.

• The role is expected to have 5 - 7 years of experience working in technology and/or data analytics space, preferably 2 - 3 years of experience working in with advanced analytical models/tools/applications (e.g., machine learning, data-lake) in banking areas.

• Demonstrated experience in team leadership and people management.

• Prior experience working on large-scale analytics projects (e.g. Data Lake)

• Comfortable working with structured and unstructured data and distributed databases. Familiar with best practice development and validation standards

• Basic understanding and knowledge of banking, risk management, regulatory recommendations and industry standards related to AML/AFC/compliance risks. Experience in or familiarity with analytics related to AML/AFC/Compliance risks are advantages.

• Ability to clearly communicate complex results in an easy-to-understand manner and tailoring them to different audiences.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• R and / or Python, with practical knowledge of data wrangling and machine learning libraries (e.g., Pandas, Keras, TensorFlow, Sklearn)

• Experience in data engineering tools, schema design, dimensional data modelling, robotic process, natural language processing and network link analysis

• Ability to create and maintain production ready data pipeline and deployment pipeline.

• Strong people skills and take a big picture approach to planning.

• Strong communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions.

Be a Part of the UOB Family

UOB 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.

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