Join a team shaping the future of digital payments and drive your professional growth. Unlock your potential and make a meaningful impact in a fast-paced and innovative environment.
As a Payment Lifecycle Associate I within Payments Operations, you will perform data analysis in a 24 X 5 environment, supporting Global Core Cash Operations encompassing Asia, EMEA and WHEM regions.
Job Responsibilities:
- Lead a team of analyst and data scientist in executing analytics projects including data collection analysis and reporting
- Develop and maintain best practices and standards for data management analysis and visualization
- Collaborate with internal stakeholders to understand business needs and provide insights and recommendations based on data analysis.
- Oversee the development and implementation of data models algorithms and statistical techniques to support business decision making.
- Manage project timelines, resources allocation and performance management to ensure timely delivery of analytics insights.
- Provide coaching and development opportunities for team members to enhance their skills and capabilities in analytics
- Provide guidance and support to team members in executing projects and developing new skills in data analysis
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Locate and define new process improvement opportunities
- Monitors all relevant Management Information System data ensuring all issues have been resolved expediently.
- Ensure that all work items are completed as per the agreed SLA. Foster and champion High Performance Culture where people are empowered to make decisions that affect their work/environment.
Required Qualifications, Skills and Capabilities:
- Graduate with Minimum6 years †Financial Operations Processing experience with a higher vintage and good team management experience in similar environment.
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages
- Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, etc.)
- Excellent written & oral communication skills in English and Strong personal computer and analytical skills.
- Good analytical skills and knowledge of MS Access, Excel, PowerPoint, and Word.
- Demonstrate leadership and people management skills.
Preferred Qualifications, Skills and Capabilities:
- Preferred working experience as a data analyst
- Working Knowledge of SWIFT & international payment conventions & practices would be plus
