Job Description
Are you a strategic thinker with a passion for numbers? Apex Global Financial is seeking a highly skilled Senior Financial Data Analyst to join our elite team in Singapore. We are redefining the landscape of modern banking through data-driven insights and innovative financial solutions.
In this pivotal role, you will bridge the gap between complex financial data and actionable business strategy. You will work closely with C-suite executives and risk management teams to optimize portfolio performance and drive profitability. If you thrive in a fast-paced, high-performance environment and want to shape the future of fintech, this is your opportunity.
Why Join Apex Global?
- Competitive salary package with performance bonuses.
- Comprehensive medical and dental coverage.
- Flexible working hours and remote work options.
- Access to continuous learning and professional development programs.
Apply today and take your career to the next level with Singapore's premier financial institution.
Responsibilities
- Analyze complex financial datasets to identify trends, risks, and opportunities for optimization.
- Develop and maintain sophisticated financial models to forecast revenue, cash flow, and capital requirements.
- Collaborate with cross-functional teams, including Risk Management and Investment Banking, to translate data into strategic recommendations.
- Automate reporting processes using SQL, Python, and BI tools to improve efficiency and accuracy.
- Present clear, actionable insights to senior stakeholders through executive dashboards and presentations.
- Ensure compliance with regulatory standards and internal governance policies regarding data privacy and integrity.
Qualifications
- Bachelor’s degree in Finance, Economics, Mathematics, or a related quantitative field (Master’s degree is a plus).
- Minimum of 5 years of experience in financial analysis, data analytics, or risk management within the banking sector.
- Proficiency in advanced SQL and data visualization tools (Tableau, Power BI, or Looker).
- Strong programming skills in Python or R for data manipulation and statistical analysis.
- Deep understanding of financial markets, banking products, and regulatory frameworks (e.g., MAS regulations).
- Exceptional attention to detail and strong problem-solving abilities under pressure.