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UO
Uobgroup

Assistant VP, Regional Data Modeler, Gp Compliance

LocationCentral Region (City Area)
Work modeon-site
Typefull-time
SeniorityVP
Experience5–10 yrs
Company size10,000+ people
PostedDec 4, 2025 · 10mo ago
Verified live15h ago
At a glanceSummarised by Seekless from the posting.
Develop and implement advanced statistical models to analyze large datasets
Collaborate with cross-functional teams to identify opportunities for process improvement based on data analysis
Present findings and recommendations to senior management in clear and concise reports
Stay updated with the latest advancements in data science and machine learning techniques
Bachelor’s degree in Computer Science, Statistics, Mathematics or related field
5 – 10 years of experience working in tech industry
3 – 5 years of experience in a data engineering and/or data analysis or data science role, ideally in the financial services industry
Proficiency in Python/Spark to code complex data engineering use cases
Experience with machine learning libraries such as scikit-learn, TensorFlow
Experience in data engineering tools such as Hive/Impala, Oozie, Hadoop, etc.
Strong understanding of statistical analysis and machine learning algorithms
Experience in deploying and scaling ML/AI models
Excellent communication skills, both written and verbal
Ability to work independently and as part of a team
Master’s preferred
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.
If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.
Skills
Python
Spark
scikit-learn
TensorFlow
Hive
Impala
Oozie
Hadoop
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
Job Responsibilities: • Develop and implement advanced statistical models to analyze large datasets
• Collaborate with cross-functional teams to identify opportunities for process improvement based on data analysis
• Present findings and recommendations to senior management in clear and concise reports
• Stay updated with the latest advancements in data science and machine learning techniques
Job Qualifications:
Education: Bachelor’s degree in Computer Science, Statistics, Mathematics or related field; Master’s preferred
Experience: 5 – 10 years of experience working in tech industry and 3 –
5 years of experience in a data engineering and/or data analysis or data science
role, ideally in the financial services industry
Skills: Proficiency in Python/Spark to code complex data
engineering use cases; Experience with machine learning libraries such as scikit-learn, TensorFlow. Experience in data engineering tools such as Hive/Impala,
Oozie, Hadoop, etc.
Strong understanding of statistical analysis and machine learning algorithms
Experience in deploying and scaling ML/AI models
Excellent communication skills, both written and verbal
Ability to work independently and as part of a team
Additional Requirements
Develop, Engage, Execute, Strategise, University-Bachelor - Data Science & Analytics
Be a Part of the UOB Family
Legal
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
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