Senior Data Analyst, Treasury

Reporting to the Senior Treasury Manager, this role is part of the Group Treasury team and supports a broad range of treasury functions, including liquidity management, foreign exchange (FX), cash investments, funding, investor relations (IR), and insurance management across the SMRT Group. This role places a stronger emphasis on process automation, data analytics, and digital transformation initiatives within treasury operations.

You will assist in the following treasury operations & insurance management:

•    Support day-to-day treasury operations, including liquidity management, FX, cash investments, and funding activities.
•    Provide support for critical treasury operations during teammates absences to ensure business continuity with timely escalation to the Senior Treasury Manager as needed.
•    Analyse and evaluate current treasury processes and KPIs to identify opportunities for streamlining and automation.
•    Proactively identify opportunities for digital enhancement and process improvements.
•    Enhance and optimize existing spreadsheets, and develop dashboards using Power BI and other tools.
•    Proactively identify opportunities for digital enhancement and process improvements.
•    Drive system improvements within the Treasury Management System (TMS) to improve efficiency and data visibility.
•    Collaborate and assist the Manager, Finance Systems & Digitalisation with treasury automation & AI initiatives and provide adhoc data analysis support and management reporting to meet stakeholder needs.
•    Support audit-related activities, including data preparation, documentation, and coordination.
•    Participate in and support ad hoc treasury and finance projects as required.
•    Provide administrative support, including documentation and filing, where necessary.

•    Bachelor's degree in Finance, Business, Accountancy, Engineering, Computer Science or Data Science.
•    At least 4 years of relevant experience in Treasury, preferably in listed companies in Singapore.
•    Demonstrated experience in data science, advanced analytics, or business intelligence roles, with a proven track record of applying these skills.
•    A Master's degree or relevant certifications in FinTech, Business Analytics, or Financial Modeling is a strong plus.

Technical skills include:
•    High level of financial literacy, numeric and analytical capability with good knowledge of financial statements and markets
•    Proficiency in Excel, Power Automate, Power BI, Power Query including advanced functions, VBA and Bloomberg
•    Strong proficiency in SQL for data extraction and manipulation.
•    Working knowledge of Python or R for statistical analysis and scripting automation.
•    Extensive experience with TMS, including system administration, system design, and implementation support.
•    Understanding of Robotic Process Automation (RPA) tools and methodologies for automating treasury tasks.

Generic skills include:
•    Good interpersonal and communication skills
•    Highly driven and ability to thrive in a fast-paced and dynamic environment
•    Good time management skills to prioritize and meet tight deadlines