*Key Responsibilities: *
- Data Mining & Analysis: Extract and analyze large datasets to provide actionable insights for financial and treasury operations.
- ETL Development: Design, implement, and optimize ETL processes for data integration and transformation within treasury systems.
- Treasury System Enhancement: Work closely with finance teams to improve treasury management solutions, including cash flow forecasting and risk management.
- System Optimization: Identify opportunities to improve system performance and data processing efficiency.
- Stakeholder Collaboration: Work closely with business units, IT teams, and external partners to align system solutions with business needs.
- Security & Compliance: Ensure data security and compliance with financial regulations and industry standards.
- Documentation & Reporting: Maintain detailed documentation of system workflows, data models, and integration processes.
- Technology Trends: Stay updated on emerging technologies in data analytics, ETL tools, and treasury management solutions.
*Qualifications & Skills: *
- Education: Bachelor's degree in Computer Science, Information Technology, or related field.
- Experience: Minimum 6 years of experience in IT system analysis on treasury solution, data mining and ETL development.
- Technical Knowledge:
- Strong understanding of data mining techniques and tools (e.g., Python, R, SQL).
- Experience with ETL tools (e.g., Apache NiFi, Talend, Informatica, SSIS). Not a must.
- Familiarity with treasury management systems (e.g., Kyriba, SAP Treasury, Quantum).
- Knowledge of financial data processing and risk management .
- Analytical & Problem-Solving Skills: Ability to translate business needs into technical solutions.
- Communication Skills: Strong verbal and written communication skills to interact with stakeholders and technical teams.
- Project Management: Experience in Agile methodologies and system lifecycle management.
*Preferred Qualifications: *
- Experience working with cloud-based financial solutions (e.g., AWS, Azure, Google Cloud).
- Knowledge of machine learning applications in financial data analysis.
- Understanding of financial regulations and compliance (e.g., Basel III, IFRS).
