Job Description
Are you a detail-oriented professional looking to build a stable, long-term career with a global industry leader? Emapta is currently seeking a highly skilled Document Validation Analyst to support our high-profile client, RealPage/Voyager. In this role, you will play a critical part in ensuring the accuracy and integrity of Commercial Real Estate (CRE) documentation, financial records, and AI-generated outputs.
You will work remotely in a supportive environment that values quality and precision. This position is perfect for professionals with a strong background in financial services or data verification who are eager to contribute to cutting-edge technology workflows while enjoying a work-life balance that includes weekends off.
Responsibilities
- Review and validate complex Commercial Real Estate (CRE) documents for accuracy and compliance.
- Analyze financial statements and data sets to ensure they meet client-specific standards.
- Verify the accuracy of outputs generated by AI and machine learning tools, providing feedback for model improvement.
- Perform comprehensive quality control audits on high-volume document batches.
- Communicate findings clearly to internal stakeholders and resolve discrepancies in a timely manner.
- Maintain strict adherence to data privacy and security protocols at all times.
- Collaborate with cross-functional teams to streamline validation processes and improve operational efficiency.
Qualifications
- Bachelor’s degree in Finance, Accounting, Business Administration, or a related field.
- Minimum of 2-3 years of experience in document validation, financial analysis, or data processing.
- Deep understanding of Commercial Real Estate (CRE) documentation and terminology.
- Strong analytical mindset with the ability to identify patterns and inconsistencies in large data sets.
- Proficiency in MS Office Suite, particularly Excel, and experience with document management systems.
- Excellent attention to detail and high levels of focus during repetitive tasks.
- Ability to work independently in a remote setting while meeting strict deadlines.
- Experience in AI-assisted workflows or data training is a significant advantage.