Onity Group Inc. (ONIT)

Mortgage servicer, 4,300, 75% in India and Philippines. Read October 20, 2026 from the annual report for the period ending December 31, 2025, filed February 17, 2026. Ranked 8 of the 120 Financial Services companies read so far, by the share within reach now.

The filing states 4,300 employees, 3,200 of them in India and the Philippines, in mortgage servicing and lending with nothing counted by function, so one nondepository credit pattern carries the workforce.

The figures on this page come from the company's own annual report and from BLS staffing patterns for its industries, never from a roster. They are estimates with a stated method. Nothing here says what the company will do: within reach is not a forecast of jobs lost or of savings.

What follows from the reading

Share of working time within reach of AI, on the long-run pace at four in five: 41% now, 59% at the end of 2027, 66% at the end of 2028, 68% at the end of 2030. By the patterns, the work is about 68% desk work, 28% people work and 4% body work. These are the site's industry estimates weighted by the shares below: estimates with a stated method and range, not a forecast of what the company will do. By the same patterns, at the end of 2028 about 32% of the working time stays with people (conversation, in-person and hands-on work), 59% becomes checking a model's work and 7% could be handed over with lighter checks, from the industries' own figures, not the company's roles.

Headcount

4,300 employees as of December 31, 2025 (stated). The filing states approximately 1,100 of 4,300 employees in the U.S. and the U.S. Virgin Islands, 2,800 in India and 400 in the Philippines.

The filing: “We had a total of approximately 4,300 employees at December 31, 2025 of which approximately 2,800 were located in India and approximately 400 were based in the Philippines.”

The workforce as industry patterns

What the filing says about the workforce: About 4,300 employees: 1,100 in the U.S. and USVI, 2,800 in India (65%) and 400 in the Philippines; more than half belong to employee resource groups; engagement 86% favorable.

Companies read with the same leading pattern

Other companies whose largest staffing pattern is also Nondepository Credit Intermediation, largest first, each read from its own annual report. Within reach now and at the end of 2028, long-run pace, four in five.

• American Express Company (AXP, 76,800 employees)41% now, 66% by 2028
• Rocket Companies, Inc. (RKT, 23,500 employees)37% now, 61% by 2028
• FirstCash Holdings, Inc (FCFS, 22,000 employees)39% now, 66% by 2028
• Synchrony Financial (SYF, 20,000 employees)41% now, 66% by 2028
• OneMain Holdings, Inc. (OMF, 9,300 employees)41% now, 66% by 2028
• UWM Holdings Corporation (UWMC, 9,100 employees)37% now, 67% by 2028
• EZCORP, Inc. (EZPW, 8,500 employees)41% now, 66% by 2028
• Rithm Capital Corp. (RITM, 7,240 employees)38% now, 64% by 2028

What the filing says about AI

8 sentences in the filing name AI. The filing says it offers AI-based tools to anticipate and resolve consumer needs, that employees use generative AI in some of their work, and names the laws governing it.

• “We attempt to differentiate ourselves by offering consumers best in class service and technology solutions, including self-service portals, analytical and artificial intelligence (AI) based tools to anticipate and resolve consumer needs, and real-time engagement with our consumers.”
• “Our employees and personnel use generative artificial intelligence ("AI") technologies to perform some of their work, and the disclosure and use of personal data in generative AI technologies is subject to various privacy laws and other privacy obligations.”
• “Governments have passed and are likely to pass additional laws regulating generative AI.”
• “If we are unable to use generative AI, it could make our business less efficient and result in competitive disadvantages.”
• “Security breaches, malicious code (such as viruses and worms), phishing attacks, cyberattacks, ransomware attacks, hacking, social-engineering attacks (including through deep fakes, which are increasingly more difficult to identify as fake, and phishing attacks), malware (including as a result of advanced persistent threat intrusions), denial-of-service attacks, credential stuffing, credential...”

Its annual reports, year by year

Sentences naming AI in each annual report, counted by one rule, beside the median report in the Index that year. Each count links its filing. Every company, by year and sector

• Fiscal 20210median 0
• Fiscal 20220median 0
• Fiscal 20231median 1
• Fiscal 20245median 4
• Fiscal 20258median 10

Headcount by filing year

As reported in each year's annual report, with the filing. A year marked not read had no figure the reading could take from the report's text.

Limits of this reading

• The U.S. share counts the U.S. Virgin Islands with the U.S., as the filing states them together.
• The servicing operations abroad are read at the same pattern as the U.S. work under rule 7, since the filing describes the same servicing work.

Source: the company's annual report on EDGAR, accession 0001628280-26-008625, the filing. Read by Claude Fable 5.1 under rubric version 1, by the method. A company can write to info@stratussc.com to have its reading checked against its filing.