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Remote Bank Debt Collection Jobs in Virginia (NOW HIRING)

AI SETA Systems Engineer

Chantilly, VA · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a AI/Ml SETA Systems ... Provide data collection and analysis to enable transparency and explainability of AI/ML systems.

Posted today

Central Business Manager

Mclean, VA · On-site +1

$62K - $68K/yr

Ability to work in a remote environment, efficiently and consistently delivering on centralized ... Yardi input, timely rent collection batch postings, delinquencies, banking activities with daily ...

Central Business Manager

Mclean, VA · On-site +1

$62K - $68K/yr

Ability to work in a remote environment, efficiently and consistently delivering on centralized ... Yardi input, timely rent collection batch postings, delinquencies, banking activities with daily ...

Showing results 21-24

Remote Bank Debt Collection information

What is a remote bank debt collection specialist?

A Remote Bank Debt Collection job involves contacting individuals or businesses who owe money to a bank and working to recover the outstanding debt, all while working from a remote location such as home. Debt collectors communicate with debtors via phone, email, or online platforms to negotiate payment plans, explain account information, and ensure compliance with relevant laws. They must maintain accurate records of their interactions, follow strict privacy guidelines, and often use specialized software to track collections. This role requires strong communication, negotiation skills, and the ability to handle difficult conversations professionally.

What are the key skills and qualifications needed to thrive as a remote bank debt collection specialist?

To thrive as a Remote Bank Debt Collection Specialist, you need a solid understanding of financial regulations, debt collection practices, and customer account management, often supported by prior experience in collections or finance. Familiarity with collection software, CRM systems, and secure communication tools is typically required. Excellent negotiation, active listening, and resilience are crucial soft skills for building rapport and resolving sensitive payment issues. These abilities are essential to ensure compliance, maximize debt recovery, and maintain positive customer relationships in a remote environment.

What are some common challenges faced by remote bank debt collection specialists, and how can they be overcome?

Remote bank debt collectors often face challenges such as difficulty establishing rapport with clients over the phone or digital channels, managing high call volumes, and navigating varying time zones. To overcome these challenges, it's important to develop strong communication and negotiation skills, maintain detailed records, and use technology tools provided by the employer to track interactions and schedule follow-ups efficiently. Additionally, staying organized and adhering to compliance guidelines can help ensure successful collections while maintaining professionalism and empathy.

What is the difference between Remote Bank Debt Collection vs Remote Credit Analyst?

AspectRemote Bank Debt CollectionRemote Credit Analyst
Required CredentialsTypically requires collections or debt recovery experience, sometimes certifications in collectionsRequires financial analysis skills, often a degree in finance or related field, and certifications like CFA or credit analysis courses
Work EnvironmentPrimarily involves contacting debtors, negotiating payments, and managing overdue accounts remotelyFocuses on assessing creditworthiness, analyzing financial data, and making lending recommendations remotely
Employer & Industry UsageUsed by banks, financial institutions, and debt collection agenciesUsed by banks, lending companies, and financial institutions for risk assessment

While both roles operate remotely within the banking and finance industry, Remote Bank Debt Collection focuses on recovering overdue debts through communication and negotiation, whereas Remote Credit Analyst emphasizes evaluating credit risk and financial data to support lending decisions.

What cities in Virginia are hiring for Remote Bank Debt Collection jobs?

Cities in Virginia with the most Remote Bank Debt Collection job openings:

Infographic showing various Remote Bank Debt Collection job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

AI SETA Systems Engineer

SAIC

Chantilly, VA • On-site, Remote

$120K - $160K/yr

Full-time

Posted 22 hours ago

Posted today


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services


Job description

Job ID: 2615914

Location: Chantilly, VA, US

Date Posted: 2026-08-20

Category: Engineering and Sciences

Subcategory: Modeling/Sim Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking a AI/Ml SETA Systems Engineer  to provide Systems Engineer Technical Advisor (SETA) services supporting the NRO’s Ground Enterprise Directorate (GED) in Chantilly, VA 

Note: All candidates must have an active TS/SCI clearance with Polygraph to be considered for this role. 

As the AI/Ml SETA Systems Engineer, you will provide specialized technical and engineering expertise supporting the acquisition of software services reliant on artificial intelligence and machine learning (AI/ML). SAIC’s client is tasked with leading the integration of mission focused tools to foster increased efficiency, automation and information sharing. You will also assist and advise Government managers responsible for the complete end-to-end life cycle of the customer's Ground Enterprise. 

Job Duties to include:

  • Provide data collection and analysis to enable transparency and explainability of AI/ML systems. 
  • Provide technical and engineering support to the Government customer to manage machine learning analytics programs; apply knowledge and experience to develop and scale AI/ML models in multiple phenomenologies.
  • Provide software architecture and other technical expertise to support the planning of future systems and architectures, and oversight of development contractors. 
  • Apply systems analysis and design methodology assessments to identify technical debt, architectural runway and efficiency trade-offs against current and proposed/desired cloud-based software system design. 
  • Develop briefings and documentation material to illustrate features, capabilities and mission use cases for the computer vision tool portfolio, including developing technical roadmaps and the acquisition strategies/documentation to implement them. 
  • Facilitate technical and programmatic interchanges; identify and resolve issues; and provide engineering and technical advice to the customer to achieve innovative capabilities for automated machine learning analytics. 
  • You will work side-by-side with the other GED SETA staff comprised of world class System Engineers, Acquisition Engineers and Domain Experts to lead the customer in acquiring modern processing applications.

Qualifications

Required Education and Experience:

  • Bachelor’s degree, or higher, in STEM related field of study such as Computer Programming, Information Systems, or similar with five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience. Relevant experience to be substituted in lieu of degree.
  • Active Top Secret/SCI Clearance with Polygraph.
  • 5 years of experience in SharePoint development, site customization, and workflow automation. 
  • Demonstrated proficiency with HTML, CSS, JavaScript, jQuery, React, and REST APIs.
  • Familiarity with Power Automate, Power BI, and PowerShell scripting for automation and data management tasks.
  • Experience with Git based version control; exposure to DevSecOps aligned digital engineering toolchains
  • Strong engineering background with knowledge of software architectures and machine learning approaches. 
  • Experience with ontologies, training dataset generation, model evaluation and validation, and responsible AI practices. 
  • Domain knowledge in Agile software development practices (Scrum, SAFe) and cloud computing architectures with experience monitoring software development progress via agile metrics, identifying risks, discrepancies, and performance issues. 
  • Relevant certifications may include Tableau Certified Data Analyst, or equivalent.
  • Demonstrated high level of initiative, creative problem-solving, and critical thinking.
  • Demonstrated capability and success working in team environments. 
  • Strong oral and written communications ability on significant technical matters often requiring coordination within a high-tempo environment.
  • Good working knowledge of MS Office applications.
     

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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