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Job Description
Scope of Work/Responsibilities
- Design and implement a comprehensive and efficient reconciliation solution to identify data discrepancies.
- Expand the reconciliation scope to ensure a thorough and detailed examination of discrepancies.
- Automate the reconciliation process to reduce manual effort, improve processing time, and enhance accuracy.
- Collaborate with business users to empower them in improving data accuracy, addressing discrepancies, streamlining operations, and risks.
- Develop and maintain APIs to facilitate seamless integration and communication between systems, addressing and fixing data break causes effectively and improving data integrity and quality.
- Assist in the generation of statistical analyses and reporting to provide actionable insights and support data-driven decision-making.
- Reporting & Incident Management:Provide regular project status updates and assist with solutions for escalated production incidents, conducting root cause analysis and proposing preventive measures.
Requirement and Qualification (Education & Work Experience)
- Bachelor’s degree in computer science, Information Technology, (or equivalent work experience).
- Proficiency in Python programming is essential, and familiarity with other languages and data analysis tools would be advantageous.
- Strong numerical aptitude and comfort with large data sets.
- Ability to design and implement automated solutions for data validation and reconciliation.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to collaborate effectively with business users and team members.
- Experience with ITIL, Agile, or similar IT frameworks.
- Bonus: Knowledge of private sector operations, CreditLens, LoanIQ, or Summit.
Work Arrangement
- Willing to work remotely with occasional reporting to Headquarters if necessary
- Work Schedule is from 9:00AM – 6:00PM Manila Time.
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