VP, Team Lead, Data Analytics

United Overseas Bank; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading Asian bank in Kuala Lumpur seeks a detail-oriented candidate for a Data Analytics role in Wholesale Banking. Ideal candidates will have 3-5 years of experience in data modeling and python programming. Responsibilities include providing timely Management Information System (MIS) reports and supporting AML/Risk data requests. This position requires strong skills in SQL, Python, and data visualization tools, along with excellent analytical capabilities and a commitment to teamwork.

Qualifications

• 3 to 5 years’ experience in Modeling or Python projects.
• Fluent in Python, R, SPSS, SAS, and Excel.
• Ability to wrangle large datasets and utilize raw data feeds.

Responsibilities

• Responsible for providing Management Information System reports.
• Support Anti Money Laundering data requests.
• Develop statistics to support Online Fraud Monitoring.

Skills

Analytical Skills

Python Programming

SQL Skills

Data Visualization

Machine Learning Knowledge

Education

Background in Mathematics, Statistics, Computer Science, or Software Engineering

Tools

PowerBI

Qliksense

Job description

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

We would like to seek a detail‑oriented candidate, with strong analytical and python programming skills to join the Wholesale Banking (WB) Portfolio Management, Data Analytic unit.

The Data Analytics (DA) role is responsible for providing Management Information System (MIS) reports to support the following areas:

• Anti money Laundering and Anti Financial Crime and Review

Prioritize and provide timely support on AML/Risk Assurance related data requests.

Provide enterprise AML data initiative support and adopt best practice from Group, for example Support data requests related to AML 2.0 uplift to support project risk evaluation and AML dashboard enhancement.

Development of statistics to support Online Fraud Monitoring.

Data Monetization

• Partner with stakeholders and business to deliver data monetization with proper tracking, for example:
  • GM(FX) Sales Trigger : Performance tracking
  • FSCM & Connectivity Upsell X‑Sell
  • Explore potential data monetization areas (when triggered) – Trade Corridor
  • CASA incremental balance growth

BU Strategic and Ad Hoc Support

• BU Strategic and Ad hoc Support

Job Requirement

• Background in quantitative or technical field (Mathematics, Statistics, Computer Science, Software Engineering).
• Candidate should have about 3 to 5 years’ experience in Modeling, Predictive modeling or been involved in Python related projects.
• Excellent SQL skills and Fluency in Python, R, SPSS, SAS, and Excel would be required. Substantial statistics and machine learning knowledge (multivariate analysis, regression, time series, SVM, etc.).
• Preferably be able to wrangle large datasets, explore and utilize raw data feeds.
• Familiarity in at least one visualization tool such as PowerBI and Qliksense.
• Ability to initiate and drive projects to completion with minimal guidance.
• Demonstrated aptitude toward Data Storytelling and Root Cause Analysis using data Analytics.
• Strong communication and interpersonal skills, willing to learn, must be able to work in team or independently, produce result in accordance to timeline.

Additional Requirements

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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