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Csiweb

Loan Conversion Specialist

Remote, USA

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hirly's read of this role

Seniority
Mid level
Country
US
Work mode
Remote-friendly
First seen by hirly
1 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Job Description:

Computer Services, Inc. (CSI), through its Hawthorn River solution, is seeking a Loan Conversion Specialist to support loan origination software implementations, data conversions, and technical troubleshooting. This position will work primarily behind the scenes, partnering with customers and internal teams to ensure loan data is accurately mapped, validated, transformed, and loaded into the Hawthorn River platform.

This is a technical, data-focused role rather than a software engineering or traditional project management position. The ideal candidate will combine knowledge of loan origination processes with hands-on experience using SQL, reviewing structured data files, analyzing system logs, troubleshooting configurations, and documenting findings. While this individual will communicate with financial institution customers when needed, they will not serve as the primary customer contact throughout the implementation.

What You’ll Do

Support data conversions and technical activities for Hawthorn River loan origination software implementations.

Review source data received from core banking systems, loan origination platforms, and third-party vendors.

Map source data fields to Hawthorn River’s standardized conversion specifications.

Use SQL to review, reconcile, validate, and transform loan data.

Analyze CSV, fixed-width, XML, JSON, and other structured data files to identify formatting issues, missing values, and discrepancies.

Validate that source fields align with target-system requirements before data is loaded into Hawthorn River.

Investigate rejected, missing, or improperly translated data and document the cause and resolution.

Review system and integration logs to identify configuration, connectivity, and data-flow issues.

Troubleshoot file-based and API-driven integrations in partnership with implementation, product, support, and engineering teams.

Assist with data transformations, including field translations, supplemental file processing, and loan account number changes.

Use SQL, Python, or other scripting tools when appropriate to improve the efficiency and accuracy of conversion activities.

Support testing, data validation, user acceptance testing, go-live activities, and post-conversion issue resolution.

Maintain thorough documentation of data mappings, conversion decisions, validation results, identified issues, and resolutions.

Communicate technical findings clearly to customers and internal stakeholders when conversion or configuration issues require additional information or action.

Develop a strong understanding of the Hawthorn River platform, its data requirements, integration capabilities, and loan origination workflows.

Collaborate closely with implementation, product, support, and technical teams to ensure successful customer conversions.

Manage assigned conversion tasks and priorities across multiple implementations.

What We’re Looking For

Two or more years of experience in data conversion, technical implementation, systems integration, banking operations, fintech, or a related field.

Working knowledge of loan origination processes, including application, evaluation, approval, documentation, closing, and funding.

Hands-on SQL experience involving data review, validation, reconciliation, or transformation.

Experience working with structured data files, such as CSV, fixed-width, XML, or JSON.

Understanding of data conversion activities, including source-to-target mapping, field-level transformation, validation, and exception handling.

Ability to read system or integration logs and use the information to troubleshoot technical issues.

Experience reviewing configurations and identifying dataflow, formatting, or connectivity problems.

Strong analytical and problem-solving skills with close attention to data accuracy.

Excellent documentation, organization, and follow-through.

Ability to explain technical findings to both technical and non-technical audiences.

Strong written and verbal communication skills.

Ability to work independently while collaborating effectively with cross-functional and customer-facing teams.

Ability to manage multiple assignments and changing priorities in a remote environment.

Preferred Qualifications

Experience supporting a loan origination system or other lending technology.

Experience with core banking system conversions or integrations.

Comfortable working within Salesforce to create and maintain custom reports and dashboards that track project status, support tickets, and key performance metrics. Salesforce administrative experience is not required; however, the ability to proactively navigate the platform, analyze data, and generate insights independently is highly preferred.

Practical knowledge of banking or lending operations.

Experience working with loan data from a financial institution, core provider, or third-party vendor.

Familiarity with file-based and API-driven integration methods.

Experience using Python or another scripting language to automate data review or transformation activities.

Exposure to data migration, data quality, or conversion reconciliation processes.

Educational background in computer science, information systems, data analytics, finance, banking, or a related discipline.

What Will Help You Succeed

You are comfortable investigating issues and working through logs, data files, and system configurations to determine what went wrong.

You understand that accurate documentation is an essential part of successful data conversion.

You can connect technical data requirements with real-world loan origination processes.

You enjoy detail-oriented work and can identify when a field, value, or record does not align with the expected result.

You communicate clearly and professionally when additional information is needed from a customer or internal stakeholder.

You are interested in using SQL, scripting, or automation to make repeatable data work more efficient.

You are comfortable contributing behind the scenes while playing an important role in the success of customer implementations.

As a forward-thinking software provider, Computer Services, Inc. (CSI) helps community and regional financial institutions solve their customers’ needs through open and flexible technologies. In addition to its award-winning core banking platform, these include the latest in lending, digital banking, payments, financial crime prevention and cybersecurity. Building on its 60-year track record of personalized service, CSI is shaping the future of banking and empowering its customers to rival their competition. For more information about CSI, visit www.csiweb.com

CSI provides rewarding and challenging career opportunities for our employees. When determining your pay, we consider various factors such as your skills, qualifications, experience and location. Along with a competitive salary, this position includes eligibility for incentive awards based on both individual and business performance. We also offer a comprehensive range of benefits. To learn more about our benefits, visit: Benefits Summary

CSI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, physical and mental disability, marital status, veteran status, or any other characteristic protected by applicable law. If you need an accommodation during the recruitment process, please email us at recruiter@csiweb.com and we will work with you to meet your accessibility needs.

For applicants residing in California, please read Privacy Notice for California Residents | CSI (csiweb.com)

Visa Sponsorship: We are unable to offer visa sponsorship for this position. Applicants must be authorized to work in the United States without the

Original posting on Csiweb's site ↗

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