Overview
On Site
Depends on Experience
Full Time
Able to Provide Sponsorship
Skills
IDP
ABBYY FlexiCapture
UiPath Document Understanding
Kofax
Azure AI Document Intelligence
OCR
NLP
Job Details
Position Title: Intelligent Document Processing (IDP) Developer
Work Location: Toronto, ON (Onsite)
Duration: 12 plus months with possible extension
Work Location: Toronto, ON (Onsite)
Duration: 12 plus months with possible extension
Job Description:
We are seeking a skilled Intelligent Document Processing Developer (Securitization IDP Developer) to join our banking technology team. The role focuses on designing, developing, and implementing automated solutions to process and extract data from securitization-related documents such as loan tapes, offering circulars, pooling & servicing agreements, and investor reports.The ideal candidate will combine expertise in IDP tools (e.g., ABBYY, UiPath Document Understanding, Kofax, Azure Form Recognizer, etc.) with a solid understanding of banking and securitization workflows.
Responsibilities:
Design, build, and deploy Intelligent Document Processing (IDP) workflows to automate data extraction from complex financial and securitization documents.
Collaborate with business, risk, and operations teams to understand document structures and key data points.
Develop and maintain data extraction models using OCR, NLP, and ML-based tools.
Integrate IDP solutions with core banking systems, data lakes, and ETL pipelines.
Optimize and train models for improved accuracy, validation, and exception handling.
Develop and maintain document classification and validation rules.
Participate in testing, troubleshooting, and deployment of new features.
Create and maintain technical documentation, including design specs, configuration details, and user guides.
Work closely with data engineers and analysts to ensure accurate and timely data delivery for securitization reporting.
Requirements:
Bachelor s or Master s degree in Computer Science, Information Systems, or a related field.
5 7 years of experience in IDP / Document Automation development, preferably in banking or financial services.
Hands-on experience with one or more IDP tools such as ABBYY FlexiCapture, UiPath Document Understanding, Kofax, Azure AI Document Intelligence, or Hyperscience.
Strong understanding of OCR, NLP, and ML techniques for data extraction and validation.
Familiarity with banking loan data, securitization processes, and structured finance documentation.
Experience with Python, .NET, or Java for custom automation and integration scripts.
Knowledge of SQL, APIs, and ETL pipelines for downstream data use.
Strong analytical and problem-solving skills with attention to data accuracy and process quality.
We are seeking a skilled Intelligent Document Processing Developer (Securitization IDP Developer) to join our banking technology team. The role focuses on designing, developing, and implementing automated solutions to process and extract data from securitization-related documents such as loan tapes, offering circulars, pooling & servicing agreements, and investor reports.The ideal candidate will combine expertise in IDP tools (e.g., ABBYY, UiPath Document Understanding, Kofax, Azure Form Recognizer, etc.) with a solid understanding of banking and securitization workflows.
Responsibilities:
Design, build, and deploy Intelligent Document Processing (IDP) workflows to automate data extraction from complex financial and securitization documents.
Collaborate with business, risk, and operations teams to understand document structures and key data points.
Develop and maintain data extraction models using OCR, NLP, and ML-based tools.
Integrate IDP solutions with core banking systems, data lakes, and ETL pipelines.
Optimize and train models for improved accuracy, validation, and exception handling.
Develop and maintain document classification and validation rules.
Participate in testing, troubleshooting, and deployment of new features.
Create and maintain technical documentation, including design specs, configuration details, and user guides.
Work closely with data engineers and analysts to ensure accurate and timely data delivery for securitization reporting.
Requirements:
Bachelor s or Master s degree in Computer Science, Information Systems, or a related field.
5 7 years of experience in IDP / Document Automation development, preferably in banking or financial services.
Hands-on experience with one or more IDP tools such as ABBYY FlexiCapture, UiPath Document Understanding, Kofax, Azure AI Document Intelligence, or Hyperscience.
Strong understanding of OCR, NLP, and ML techniques for data extraction and validation.
Familiarity with banking loan data, securitization processes, and structured finance documentation.
Experience with Python, .NET, or Java for custom automation and integration scripts.
Knowledge of SQL, APIs, and ETL pipelines for downstream data use.
Strong analytical and problem-solving skills with attention to data accuracy and process quality.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.