Assistant VP, Regional Data Modeler, Gp Compliance

1011 United Overseas Bank Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

United Overseas Bank Limited (UOB) in Singapore is seeking a senior Data Scientist / Data Engineer to develop and implement advanced statistical models, and drive data-driven decision making.

You will collaborate with cross-functional teams, present findings to executives, and stay ahead of ML techniques in a financial services setting.

The role requires 5–10 years in tech, including 3–5 years in data engineering/analysis, with strong Python/Spark skills and ML libraries.

Qualifications

• Bachelor’s degree in computer science, statistics, mathematics or related field; Master’s preferred.
• 5–10 years in tech with 3–5 years in data engineering/analysis or data science in financial services.
• Strong programming in Python/Spark and ML libraries; experience deploying ML/AI models.

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.

Skills

Python

Spark

ML libraries

Statistics

ML algorithms

Hive/Impala

Oozie

Hadoop

Education

Bachelor's degree

Master's preferred

Tools

Hive/Impala

Oozie

Hadoop

Job description

About UOB

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

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.

Career Site: UOB Career site