AVP, Data Analytic (Wholesale Banking) at United Overseas Bank Limited Co

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

30 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Data Design, Data Preparation, Data Transformation, Machine Learning, Python, R, Power BI, Qlik, MS Access, MS Excel, VBA, SQL, Analytical Skills, Communication Skills, Problem-Solving Skills

Industry

Banking

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 Develop and distribute reports and dashboards accurately and in a timely manner on both periodic and ad-hoc bases. Perform data analytics, data design, data preparation, and data transformation to generate automated reports and dashboards to support business units. Lead large-scale data initiatives, including analyzing, integrating, and managing structured and unstructured data to create insightful datasets that address business questions. Validate and co-develop machine learning models to generate actionable insights, particularly in the anti-money laundering (AML), or fraud detection. space. Provide analytical information to support decision-making. Participate in UAT for Bank's data systems. Requirements : Bachelor’s or Master’s degree in IT, Computer Science, Statistics, or other related fields. At least 5 years of experience in data analytics. Minimum 2 years of experience in a related field, preferably in the banking industry, anti-money laundering (AML), or fraud detection. Technical expertise with hands-on experience in Python, R, or other programming languages; proficiency in Power BI or Qlik report development is an advantage. Strong knowledge and familiarity with MS Access, MS Excel, VBA, and SQL. Good in analytical and communication skills in both Thai and English (listening, speaking, reading, and writing). Strong problem-solving skills, understanding of financial industry concepts; consulting experience is a plus. High sense of responsibility and teamwork, with good interpersonal skills and the ability to work under pressure. Remark: The Bank requires the checking and collection of criminal records for candidates of this position in order to verify qualifications and/or disqualifications for the job position in accordance with the Bank’s policy. Additional Requirements Develop, Engage, Execute, Strategise 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. Apply now and make a Difference Together, Let’s Build the Future of ASEAN We value our people and invest in them as we look to fulfil our purpose of building the future of ASEAN. We seek to create a collaborative and progressive environment for them to succeed in their careers for the long term. Explore career opportunities with us today. UOB is rated as one of the world's top banks, ranked 'Aa1' by Moody's Investors Service and 'AA-' by both S&P Global and Fitch Ratings. With a global network of 500 branches and offices across 19 countries in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, as well as branches and offices throughout the region. Career Site: UOB Career site

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Responsibilities

Develop and distribute reports and dashboards, perform data analytics, and lead large-scale data initiatives. Validate machine learning models and provide analytical information to support decision-making.