The Document Analyst at Odixcity Consulting plays a crucial role in ensuring the integrity and authenticity of various documents essential for business operations. This position is vital as it protects the organization from risks associated with fraud and non-compliance, thereby maintaining trust with clients and stakeholders. In the first few months, you will immerse yourself in the nuances of document verification, learning to identify intricate fraud patterns and develop a keen eye for detail. You’ll work closely with cross-functional teams to enhance the document review processes and contribute to the improvement of machine learning models that rely on accurate data.
Key Responsibilities
Your primary duty will involve analyzing and validating data from diverse documents such as government-issued IDs, financial statements, and legal contracts, ensuring that all extracted fields are both accurate and complete.
You will utilize forensic analysis techniques to identify sophisticated document fraud, including manipulated IDs and counterfeit documents, by examining security features like holograms and microprint.
Handling complex cases involving damaged or non-standard documents will require you to employ your research skills to assess validity and interpret data correctly.
Collaboration with Policy and Product teams will be essential as you create and refine guidelines that address global document diversity and evolving fraud tactics.
Your insights will support machine learning engineers and data scientists by providing structured feedback on model performance, identifying errors in OCR processes, and contributing to high-quality datasets for training purposes.
You will conduct quality checks on annotations and verifications done by junior analysts or automated systems, ensuring high compliance with regulatory requirements and maintaining inter-annotator agreement.
Additionally, you will work on streamlining document review workflows to optimize processes, reduce manual interventions, and enhance overall accuracy without compromising security.
Requirements & Qualifications
A minimum of 3 years’ experience in Document Analysis, Identity Verification, or KYC/AML Operations is required, with a background in fintech or legal tech being highly beneficial.
Proficiency in recognizing a variety of global identity documents, including passports and driver’s licenses, as well as understanding financial and legal documents.
Demonstrated capability to identify advanced document fraud, including forgery indicators and manipulation techniques, is essential for this role.
Familiarity with document verification tools and software, particularly OCR applications, is necessary, along with experience in handling data formats like JSON, XML, or CSV.
Strong knowledge of KYC/AML frameworks and data privacy regulations, including GDPR and CCPA, will be crucial for ensuring compliance in document processing.
What You’ll Gain
Experience in a dynamic role that enhances your analytical skills and deepens your understanding of document verification and fraud detection.
Opportunities to collaborate with diverse teams, enhancing your teamwork and communication skills while contributing to significant projects.
Exposure to advanced technologies and methodologies in machine learning and data science, broadening your technical expertise.
Career growth potential within the organization, as you will be positioned at the forefront of combating fraud and enhancing operational integrity.
How to Apply
If you are interested in this opportunity and meet the outlined qualifications, please submit your application. You can apply directly through the following link: Apply here.
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