AFS Vision – Commercial Lending
Highlights
Location: Remote
Position Type: Contract to Hire
Hourly / Salary: Based on experience
Residency Status: US Citizen or Green Card Holder ONLY
Job Description
The AFS Vision Specialist for Commercial Lending plays a critical role in overseeing and enhancing the automation of commercial lending processes with a focus on leveraging advanced vision technologies. This position is responsible for optimizing document processing data extraction and workflow automation within the lending process. The AFS Vision Specialist will work closely with business units technology teams and stakeholders to ensure the effective integration of automation systems into commercial lending operations driving efficiency accuracy and compliance in the lending lifecycle.
Key Responsibilities:
- Vision System Implementation and Optimization:
- Design develop and implement visionbased systems to automate commercial lending processes focusing on document recognition data extraction and workflow automation.
- Integrate vision systems with loan origination and servicing platforms ensuring seamless data flow.
- Troubleshoot maintain and optimize vision systems for enhanced performance in commercial lending operations.
- Document Management and Data Processing:
- Automate the extraction and validation of data from loanrelated documents (e.g. applications financial statements contracts).
- Ensure the accuracy consistency and integrity of data extracted through vision systems and maintain secure data management practices.
- Develop and maintain algorithms to identify and classify documents as well as extract key information for use in commercial lending systems.
- Regulatory Compliance and Risk Management:
- Ensure that visionbased systems comply with financial industry regulations including data privacy laws (e.g. GDPR CCPA and lendingspecific requirements.
- Implement security protocols to safeguard sensitive financial and customer data.
- Conduct audits and monitor systems for compliance with company policies and regulatory standards.
CrossDepartment Collaboration: - Collaborate with lending officers underwriters and credit analysts to understand business needs and align automation solutions with lending workflows.
- Work closely with IT and software development teams to integrate and optimize vision systems within commercial lending platforms.
- Provide training and ongoing support to internal teams on using automated systems and visionbased tools.
Process Improvement and Performance Monitoring: - Continuously monitor the performance of vision systems and identify areas for improvement to enhance operational efficiency.
- Develop metrics to evaluate system performance and generate insights on potential process improvements.
- Suggest and implement solutions for streamlining document handling loan data processing and approval workflows.
Qualifications and Skills: - Bachelor’s degree in Computer Science Engineering Finance or a related field.
- 3 years of experience with vision systems machine learning or automation in a commercial lending or financial services environment.
- Strong understanding of commercial lending processes loan document management and the regulatory landscape.
- Proficiency with vision systems (e.g. AFS Vision ABBYY Cognex.
- Familiarity with commercial lending software platforms (e.g. nCino Encompass.
- Experience in data extraction document classification and machine learning techniques for document automation.
- Strong analytical and problemsolving abilities particularly in process optimization and system troubleshooting.
- Excellent communication and teamwork skills with the ability to collaborate effectively across business and technical teams.
Preferred Qualifications: - Experience with financial services banking or lending industryspecific technology solutions.
- Knowledge of cloudbased platforms and data storage solutions.
- Understanding of machine learning algorithms and artificial intelligence in the context of document automation.
- Background in regulatory compliance and familiarity with industry standards such as SOX GLBA or Basel III.
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