413 Uob jobs in Singapore

Job Responsibilities

• Develop and maintain infrastructure for enterprise data platforms and machine learning.
• Collaborate with business stakeholders to gather requirements and translate them into effective data visualizations and reporting solutions.
• Design, build, and maintain scalable and interactive dashboards using BI tools such as Power BI, Tableau, or Looker.
• Implement and manage data governance frameworks, including data cataloging, lineage, quality, and access controls using cloud-native tools (e.g., AWS Glue, Azure Purview, Google Cloud Data Catalog).
• Data Platform Development & Management:
  • Design, develop, and maintain data platforms that support large-scale data ingestion, storage, and processing using cloud-based data infrastructure.
  • Implement and manage data warehousing and centralized data solutions tailored for asset management.
  • Evaluate and integrate new data technologies and tools to enhance data platform capabilities.
• Data Pipeline Development:
  • Build and maintain robust and efficient data pipelines for data ingestion, processing, and transformation.
  • Develop and implement data quality checks and validation processes to ensure data accuracy, timeliness, and consistency.
  • Utilize ETL/ELT tools and techniques to transform and load data into target systems.
  • Employ exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems.
  • Learn and share knowledge and experience in a multi-disciplinary team.

Job Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• At least 5 years of experience in data engineering, business intelligence, machine learning engineering, or a related role in a production environment.
• Familiarity with data governance frameworks (e.g., DAMA-DMBOK) and regulatory compliance (e.g., GDPR, CCPA).
• Hands-on experience in Python and SQL. Experience with other programming languages (e.g., Java, Scala, C++) is a plus.
• Experience in best practices such as DataOps and MLOps
• Experience with big data technologies and cloud platforms such as BigQuery, Kafka, GCP, AWS and their data engineering and machine learning products and services.
• Strong understanding of software development best practices, including version control (Git), testing, and CI/CD.
• Excellent communication and organizational skills, and the ability to stay focused on completing tasks and meeting goals within a busy workspace.
• Skilled at working in tandem with a team of engineers, or alone as required.
• Strong troubleshooting and analytical skills.
• Cloud and data certifications are a plus.

Job Responsibilities

• Develop and maintain infrastructure for enterprise data platforms and machine learning.
• Collaborate with business stakeholders to gather requirements and translate them into effective data visualizations and reporting solutions.
• Design, build, and maintain scalable and interactive dashboards using BI tools such as Power BI, Tableau, or Looker.
• Implement and manage data governance frameworks, including data cataloging, lineage, quality, and access controls using cloud-native tools (e.g., AWS Glue, Azure Purview, Google Cloud Data Catalog).
• Data Platform Development & Management:
  • Design, develop, and maintain data platforms that support large-scale data ingestion, storage, and processing using cloud-based data infrastructure.
  • Implement and manage data warehousing and centralized data solutions tailored for asset management.
  • Evaluate and integrate new data technologies and tools to enhance data platform capabilities.
• Data Pipeline Development:
  • Build and maintain robust and efficient data pipelines for data ingestion, processing, and transformation.
  • Develop and implement data quality checks and validation processes to ensure data accuracy, timeliness, and consistency.
  • Utilize ETL/ELT tools and techniques to transform and load data into target systems.
  • Employ exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems.
  • Learn and share knowledge and experience in a multi-disciplinary team.

Job Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• At least 5 years of experience in data engineering, business intelligence, machine learning engineering, or a related role in a production environment.
• Familiarity with data governance frameworks (e.g., DAMA-DMBOK) and regulatory compliance (e.g., GDPR, CCPA).
• Hands-on experience in Python and SQL. Experience with other programming languages (e.g., Java, Scala, C++) is a plus.
• Experience in best practices such as DataOps and MLOps
• Experience with big data technologies and cloud platforms such as BigQuery, Kafka, GCP, AWS and their data engineering and machine learning products and services.
• Strong understanding of software development best practices, including version control (Git), testing, and CI/CD.
• Excellent communication and organizational skills, and the ability to stay focused on completing tasks and meeting goals within a busy workspace.
• Skilled at working in tandem with a team of engineers, or alone as required.
• Strong troubleshooting and analytical skills.
• Cloud and data certifications are a plus.

• Manages and handle incoming & outgoing emails
• Ensures cases are sent or attended within the standard turnaround or within the agreed turnaround time to customers.
• Working with team members to ensure the Service Level for Emails, Letters, Faxes Payment Advice and Social Media management are met daily.
• Render support to submit waiver requests for those waiver cases submitted via IVR
• Adherence to the rules and guidelines as per the Bank's Code of Conduct and Group Banking Operations Policy when handling emails, faxes, letters, processing requests and Social media management.

Cash Management refers to the banking services provided to corporate clients to help them manage their cash flow efficiently ­ including payments, collections, account services, and liquidity management. The Cash Management Operations Centre is the back-office team that ensures: Corporate accounts are opened and maintained correctly; Payment instructions are processed securely and promptly; Client data and mandate details (e.g. authorized signatories) are kept up to date; Compliance with internal controls and regulatory requirements.

Overtime is expected for this role.

- Job Description:

(A) Bank Operations Maker Roles Of:

Set up of Static or Mandate maintenances

Processing of related to Corporate Account Opening request (back up)

Review cash management account opening documentation and conduct due diligence on the documents

From a static stand point: to facilitate change of requests (update bank's system) such as email updates.

Business Intelligence & Data Visualization

When required Ad-hoc duties as assigned

(B) Requirements:

Diploma/Degree in Business/Finance/Banking

Saavy with MS Office

Critical Thinking Skills

Good understanding of maker/checker operation processes

Attention to detail/data entry specialist without minimal error

Ability to multitask/handle large volumes tasks

Good to have: Advanced MS Excel Formulas (Concatenate, Pivot Table, Vlookup etc.), VBA Excel Macros, BI Tools (Power BI, Tableu Qlik)

We are seeking a skilled professional to fill the role of Transaction Specialist . As a key member of our team, you will be responsible for various transactional processing tasks including pre-processing checks, data input, and customer instructions.

This includes handling transactions for Time Deposits, Maxiyield, Structured Products, Remittances, Cashiers' Orders, and Demand Drafts. You will also be responsible for reconciliation of instructions at the end of each day, ensuring that all filing is complete and up-to-date.

To excel in this role, you must have excellent communication skills, both verbal and written. You should be an independent worker who can work well under pressure and meet deadlines. Additionally, you should have good analytical and problem-solving skills, with the ability to identify process improvements and automation opportunities.

The ideal candidate will have over 1 year of experience in banking operations, although candidates from non-banking backgrounds are welcome to apply. Proficiency in Microsoft Office, particularly Excel, is required, as well as knowledge of SAP and other banking systems.

The successful candidate will be able to work effectively in a team environment and communicate clearly with stakeholders. They will also be able to adapt to changing priorities and workload demands.

A competitive salary package will be offered to the successful candidate, along with opportunities for professional growth and development.

Key Responsibilities:

• Transactional processing tasks
• Reconciliation of instructions
• Filing and record-keeping
• Communication with stakeholders
• Process improvement and automation

Requirements:

• Over 1 year of experience in banking operations
• Excellent communication and analytical skills
• Proficiency in Microsoft Office and SAP
• Ability to work independently and as part of a team

Benefits:

• Competitive salary package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

Job Overview

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• This role involves managing project implementations for banking clients.
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• The Project Manager will be responsible for managing end-to-end system implementation, including change requests.
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• Key responsibilities include ensuring the project stays within time and resource constraints.
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• Pre-project planning activities, cost estimation, and resource planning are also essential duties of this position.
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• The Project Manager will manage client stakeholders and company team members, providing regular status updates on delivery.
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• Maintaining up-to-date project engagement plans is crucial in this role.
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Requirements

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• A minimum of 10-15 years of working experience, with at least 5 years of experience/knowledge in project management in banks.
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• Ability to multitask effectively and handle multiple projects.
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• Detailed analytical thinking, identifying and resolving issues.
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• Highly driven, proactive, and a strong team player.
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• Excellent interpersonal skills and written and verbal communication skills in English.
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Preferred Skills

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• Experience in AML systems.
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• Experience in Informatica.
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• Experience in testing approaches.
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• Experience in Control-M and JIRA.
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• Experience in SharePoint.
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Business Systems Analyst Opportunity

We are seeking a skilled Business Systems Analyst to join our banking operations team in Singapore. The successful candidate will be responsible for analyzing business needs and shaping effective system solutions.

Key Responsibilities:

• Conduct thorough analysis of banking systems, including loans, trade, payments, and internal data interfaces.
• Collaborate with cross-functional teams across Japan, Singapore, and APAC to ensure aligned solutions.
• Develop clear workflows, system diagrams, and user documentation for stakeholders.
• Manage tasks, risks, and communication to ensure successful project delivery.

Requirements:

• Bachelor's degree in IT, Computer Science, or a related field.
• Minimum 5 years' experience as a Business or System Analyst in banking.
• Familiarity with payment systems (FAST, GIRO, MEPS) and internal data interfaces.
• Strong knowledge in Loan, Trade, and financial transaction reporting.
• Proficiency in system design, documentation, and business process mapping tools.

Technical Requirements:

• Deep understanding of banking operations across loans, trade, and payments.

Additional Information:

The successful Business Systems Analyst must possess strong analytical skills, technical expertise, and a deep understanding of banking operations.