VP1, Data Analyst (Kuala Lumpur)

UOB; Kuala Lumpur; Hybrid; MYR 90,000 - 150,000; Full time

Job summary

United Overseas Bank (Malaysia) Bhd is seeking a VP1 Data Analyst in Kuala Lumpur to advance machine learning driven analytics within the WB Portfolio Management Unit. You will build and manage scorecard models, perform portfolio analytics and provide forecasting to guide capital adequacy decisions.

The role requires 4–5 years in analytics, strong Python, Power BI and Qlik Sense experience, and excellent communication. Hybrid work arrangement in Kuala Lumpur is available.

Qualifications

• Background in quantitative or technical field.
• 4–5 years of analytics experience; Python knowledge is an advantage.
• Fluency in Excel, PowerPoint, Python or R.
• Familiarity with Power BI and Qlik Sense would be welcome.
• Analytical mind with attention to detail; strong communication skills.
• Team player able to work independently and meet deadlines.

Responsibilities

• Develops and manages WB scorecard models for capital and provisioning.
• Conducts portfolio analytics including trend analysis for early warning signals.
• Provides forecasting to support business decisions and planning.
• Performs Basel EL and RWA analysis.
• Prepares analytical reports and monitors key metrics for ICAAP and MFRS9 provisioning.
• Drives process improvements and report automation using Python.
• Develops dashboards using Power BI or Qlik Sense.
• Supports systemisation by defining user requirements and conducting UAT.

Skills

Python

Power BI

Excel

PowerPoint

R

Qlik Sense

Education

Actuarial

Statistics

Computer Science

Software Engineering

Tools

Qlik Sense

Job description

## VP1, Data Analyst (Kuala Lumpur)Applyremote type: Hybridlocations: Kuala Lumpur (City Area)time type: Full timeposted on: Posted Todayjob requisition id: JR88359Company: 2201 United Overseas Bank (Malaysia) Bhd **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 Description*** WB Portfolio Management Unit (PMU) focuses on Machine Learning and Artificial Intelligence* Develops and manages WB scorecard models for capital and bank provisioning* Conducts portfolio analytics including trend analysis for early warning signals and business opportunities* Role is within the PMU Data Analytics team* Performs data analytics including Basel EL and RWA analysis* Provides forecasting to support business decision-making and planning* Conducts regulatory stress testing required by MAS and BNM* Prepares analytical reports* Monitors key metrics for capital adequacy assessment, ICAAP and MFRS9 provisioning* Manages execution, reporting and stakeholder engagement* Drives continuous process improvements and report automation using Python* Develops dashboards using Power BI or Qlik Sense* Supports systemisation initiatives by defining user requirements* Performs UAT and regression testing for system migration and enhancements* Requires strong analytical, computational, critical thinking and problem-solving skills* Requires proficiency in Power BI, Excel and PowerPoint* Basic Python knowledge is an advantage* Must be able to work in a fast-paced, multi-disciplinary and competitive environmentJob Requirements/ Qualifications* Background in quantitative or technical field (Actuarial, Statistics, Computer Science, Software Engineering).* Candidate should have about 4 to 5 years of experience in Analytics and Python related would be an added advantage.* Fluency in Excel, PowerPoint, Python or R would be required. Familiarity in at least one visualization tool such as PowerBI and Qliksense would be welcome.* Analytical mind and can be trusted with attention to detail.* Strong team player and understanding of Basel and credit knowledge will be an added advantage.* Strong communication and interpersonal skills, willing to learn, must be able to work in team or independently, produce result in accordance to timeline* Ability to manage multiple tasks simultaneously* Language requirement: Business English moderate to high level.## **Additional Requirements**Be 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