Top Tech Jobs & Startup Jobs in Singapore

Support the delivery, operation, testing, and continuous improvement of Oracle Fusion ERP across finance workstreams and regional entities. Gather and document requirements, analyze processes and control gaps, coordinate with business and technology stakeholders, prepare and execute UAT, track defects, support production issues, and assist with go-live and change activities. Identify opportunities to use automation, reporting, analytics, and AI-enabled capabilities to improve efficiency, data quality, controls, and user experience.

Provides production application support for global Wealth Management systems, resolving incidents, managing problems, overseeing batch operations, supporting deployments, testing fixes, and coordinating system enhancements. Partners with business, technology, architecture, and vendor teams to improve stability, reduce incidents, manage risks, and support front- and back-office processes. Provides on-call coverage, documentation, training, and cross-training. Requires experience with banking applications, Java/J2EE, .NET, SAS, databases, operating systems, application servers, microservices, and financial services production support.

Assess macroeconomic and financial market impacts on the bank’s balance sheet; develop interest rate, liquidity, and structural FX strategies; oversee treasury policies and Funds Transfer Pricing methodologies; provide analytics and recommendations to senior management and Group ALCO; and support cross-functional treasury initiatives.

Supports Singapore tax compliance, reporting, provisions, corporate income tax and GST returns, withholding tax reviews, tax audits, regulatory queries, incentives, risk management, and process improvements. The role rotates across tax functions while partnering with business units, auditors, tax authorities, and management. It also contributes to transactions, product approvals, and technology-driven tax workflow transformations.

Manages and grows relationships with high-value clients, advises them on investment products and services, meets revenue targets, develops new business, increases client assets and market share, and ensures quality client servicing. The role requires strong communication, business acumen, entrepreneurial drive, portfolio-management experience, and preferably professional CACS qualifications and English-Chinese fluency.

Advises clients on investment products and services while managing and deepening sizeable client portfolios. Builds market share, grows client assets, achieves annual revenue targets, develops new business, maintains trusted client relationships, stays current on products, and monitors service quality. The role requires strong communication, business acumen, entrepreneurial drive, and fluency in English and Chinese or another second language.

Advise and maintain relationships with a dedicated client portfolio, grow assets under management and market share, achieve annual revenue targets, provide investment product guidance, develop new business, monitor service quality, and identify opportunities for product development. The role requires managing an AUM book of USD 150–200 million or more and serving English- and Chinese-speaking clients.

Acquire, grow, and deepen relationships with middle-market businesses. Provide lending, trade finance, treasury, cash management, and digital banking solutions while advising owners on expansion, acquisitions, succession planning, and regional growth. Drive customer digitalization, build ecosystem partnerships, maintain credit discipline, and ensure regulatory and bank-policy compliance.

Design and build scalable cloud-native data pipelines and lakehouse solutions using Spark, PySpark, Apache Iceberg, streaming technologies, Python, shell scripting, and SQL. Modernize legacy workloads, migrate systems to cloud architectures, implement data quality and monitoring automation, and support metadata, lineage, and governance through open catalogue frameworks. Collaborate with analysts, data scientists, and stakeholders to deliver reliable, high-performance data solutions.

Design and build cloud-native data pipelines, lakehouse solutions, and real-time streaming systems using Spark, PySpark, Iceberg, Python, and SQL. Modernize legacy workloads, migrate processing systems to cloud architectures, automate ETL/ELT workflows, and implement data quality, monitoring, governance, metadata, and lineage practices. Collaborate with analysts, data scientists, and stakeholders to deliver reliable, scalable data solutions and troubleshoot pipeline performance and operational issues.