VP1, Business Analytics and Insights

UOB; Singapore; Hybrid; SGD 180,000 - 260,000; Full time

Job summary

United Overseas Bank Ltd. in Singapore seeks a VP1, Business Analytics and Insights to lead the development and execution of advanced analytics strategies in the Central Region.

This senior role drives data-led decision making across the bank, partnering with business units to translate insights into measurable outcomes. Responsibilities include guiding a team of data scientists and analysts, shaping governance, deploying machine learning solutions, and communicating complex results to

Qualifications

• Master’s degree in a quantitative field (Statistics/Math/CS/Economics) and 10–12 years in analytics.
• Minimum 5 years in leadership or managerial capacity.
• Proven track record building analytics strategies in financial services, preferably banking.
• Deep expertise in statistical modeling, ML, and predictive analytics.
• Proficiency in Python or R, with experience in big data (Hadoop/Spark).
• Strong data visualization (Tableau/Power BI) and SQL skills.
• Excellent communication and leadership abilities; able to translate complex concepts to non‑tech stakeholders.
• Cloud experience (AWS/Azure/GCP) is a plus.

Responsibilities

• Develop and execute the strategy for analytics and insights aligned with the bank’s objectives.
• Lead a team of data scientists, analysts and reporting specialists.
• Oversee end-to-end analytics lifecycle from data collection to deployment and monitoring.
• Translate data findings into actionable insights for senior management.
• Collaborate with stakeholders to translate analytics needs into technical requirements.
• Advance analytics techniques, including ML and AI, to solve business problems.
• Govern data quality, privacy and security across analytics initiatives.
• Evaluate and adopt new analytics tools and methods to boost capabilities.
• Present findings and strategic recommendations to executive leadership.

Skills

Leadership

Data science

Statistics

Machine learning

Python

R

SQL

Tableau

Power BI

Big data

Cloud platforms

Education

Master's degree in Statistics/Mathematics/Computer Science/Economics

Tools

Python

R

SQL

Tableau

Power BI

Hadoop

Spark

AWS

Azure

GCP

Job description

## VP1, Business Analytics and InsightsApply: Hybrid: Central Region (City Area): Full time: Posted Today: End Date: October 5, 2026 (9 days left to apply): JR94623Company: 1011 United Overseas Bank Ltd **About UOB**United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow. **Job Description**Job Summary\\*\\* Lead the strategic development and implementation of advanced business analytics and insights solutions to drive informed decision-making and optimize performance across United Overseas Bank Ltd. This role focuses on leveraging data to identify opportunities, mitigate risks, and enhance customer experience. Job Responsibilities\\*\\* \\* Develop and execute the overall strategy for business analytics and insights, aligning with UOB's strategic objectives. \\* Lead a team of data scientists, analysts, and reporting specialists, fostering a culture of innovation and high performance. \\* Oversee the end-to-end lifecycle of analytics initiatives, from data collection and processing to model development, deployment, and performance monitoring. \\* Translate complex data findings into actionable insights and compelling narratives for senior management and various business units. \\* Collaborate with business stakeholders to understand their analytical needs and translate them into technical requirements. \\* Drive the adoption of advanced analytical techniques, including machine learning, predictive modeling, and AI, to solve complex business problems. \\* Establish and maintain robust data governance frameworks, ensuring data quality, privacy, and security standards are met. \\* Evaluate and recommend new analytics tools, technologies, and methodologies to enhance analytical capabilities. \\* Monitor industry trends and best practices in business analytics and insights, continuously seeking opportunities for improvement. \\* Present analytical findings and recommendations to executive leadership, influencing strategic direction and investment decisions. Job Qualifications\\*\\* \\* Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. \\* Minimum of 10-12 years of experience in business analytics, data science, or a similar role, with at least 5 years in a leadership or managerial capacity. \\* Proven track record of developing and implementing successful analytics strategies in a financial services environment, preferably banking. \\* Deep expertise in statistical modeling, machine learning algorithms, and predictive analytics techniques. \\* Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Hadoop, Spark). \\* Strong experience with data visualization tools (e.g., Tableau, Power BI) and advanced SQL. \\* Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders. \\* Demonstrated ability to build, mentor, and lead high-performing analytics teams. \\* Strong understanding of financial products, services, and regulatory requirements. \\* Experience with cloud platforms (e.g., AWS, Azure, GCP) for analytics deployment is a plus.