Loan officer email list: 17,452 US loan officers and mortgage brokers, free to download
17,452 U.S. loan officers and mortgage brokers in Datacircle's free 10M+ U.S. dataset have an email or a mobile phone: 8,274 with an email, 14,474 with a mobile, 5,296 with both. They work at companies of 11 to 500 employees, by the current job title on their LinkedIn profile, in our October 2026 release.
One download, free with a work email; the list is one query on it. Below, the loan officers and mortgage brokers counted by state, industry and company size, with their titles as written. People are counted here, never named.
Download the loan officer email list
Sign up with your work email: the 10M+ U.S. dataset is on your dashboard, one zip of two Parquet files. Unzip it into a folder named us_10m, then run this in Python (pip install duckdb). It writes the 17,452 loan officers and mortgage brokers with an email or a mobile to a CSV, each with their company, its website, industry and size, and their LinkedIn URL:
import duckdb
duckdb.sql(r"""
copy (
select p.FULL_NAME, p.CURRENT_JOB_TITLE, c.NAME as COMPANY, c.URL as WEBSITE, c.LINKEDIN_INDUSTRY as INDUSTRY,
c.EMPLOYEE_COUNT_RANGE as EMPLOYEES, p.EMAIL, p.MOBILE_PHONE, p.CITY, p.STATE_CODE, p.LINKEDIN_URL
from 'us_10m/us_smb_mid_market_persons.parquet' p
join 'us_10m/us_smb_mid_market_companies.parquet' c on c.LINKEDIN_ID = p.CURRENT_JOB_COMPANY_LINKEDIN_ID
where regexp_matches(p.CURRENT_JOB_TITLE, '\b(mortgage (loan officer|broker|banker|advisor|consultant|originator)|loan officer)\b', 'i')
and not regexp_matches(p.CURRENT_JOB_TITLE, '\b(assistant|asst)\b', 'i')
and (p.EMAIL is not null or p.MOBILE_PHONE is not null)
) to 'us_loan_officers.csv'
""")The pattern takes a title as written on LinkedIn, in any letter case, and the second one leaves out the titles it shouldn't take. To cut it by state, add and p.STATE_CODE = 'CA'; by size, and c.EMPLOYEE_COUNT_RANGE = '51-200'. Every column of the file and its fill rate: the free US B2B leads dataset.
Their titles, as written on LinkedIn
The titles the most loan officers and mortgage brokers of the list hold, word for word. Titles held by fewer than 10 people aren't shown.
| Title | People |
|---|---|
| Loan Officer | 3,943 |
| Mortgage Loan Officer | 3,735 |
| Senior Loan Officer | 1,309 |
| Mortgage Consultant | 633 |
| Sr Loan Officer | 625 |
| Mortgage Banker | 597 |
| Senior Mortgage Loan Officer | 545 |
| Mortgage Broker | 422 |
| Commercial Loan Officer | 375 |
| Mortgage Advisor | 200 |
US loan officers and mortgage brokers by state
By the state on their LinkedIn profile. California holds 12.4% of them, Texas 7.4%.
| State | With an email or a mobile | Share |
|---|---|---|
| California | 2,159 | 12.4% |
| Texas | 1,296 | 7.4% |
| Florida | 1,065 | 6.1% |
| Arizona | 697 | 4.0% |
| New York | 659 | 3.8% |
| Michigan | 637 | 3.7% |
| North Carolina | 550 | 3.2% |
| Virginia | 543 | 3.1% |
| Utah | 533 | 3.1% |
| Illinois | 530 | 3.0% |
| Georgia | 475 | 2.7% |
| Maryland | 474 | 2.7% |
| Colorado | 467 | 2.7% |
| Ohio | 430 | 2.5% |
| Missouri | 424 | 2.4% |
| Washington | 421 | 2.4% |
| Massachusetts | 397 | 2.3% |
| Pennsylvania | 384 | 2.2% |
| New Jersey | 383 | 2.2% |
| Tennessee | 383 | 2.2% |
| Oregon | 318 | 1.8% |
| Indiana | 282 | 1.6% |
| South Carolina | 281 | 1.6% |
| Minnesota | 278 | 1.6% |
| Kansas | 267 | 1.5% |
| Kentucky | 266 | 1.5% |
| Wisconsin | 263 | 1.5% |
| Nevada | 246 | 1.4% |
| Iowa | 211 | 1.2% |
| Alabama | 199 | 1.1% |
| Oklahoma | 184 | 1.1% |
| Connecticut | 179 | 1.0% |
| Louisiana | 177 | 1.0% |
| Nebraska | 159 | 0.9% |
| Idaho | 148 | 0.8% |
| Arkansas | 146 | 0.8% |
| Rhode Island | 114 | 0.7% |
| New Hampshire | 105 | 0.6% |
| District of Columbia | 97 | 0.6% |
| New Mexico | 78 | 0.4% |
| Montana | 76 | 0.4% |
| Maine | 74 | 0.4% |
| Mississippi | 72 | 0.4% |
| South Dakota | 63 | 0.4% |
| North Dakota | 58 | 0.3% |
| Hawaii | 50 | 0.3% |
| Delaware | 49 | 0.3% |
| Wyoming | 33 | 0.2% |
| West Virginia | 28 | 0.2% |
| Vermont | 24 | 0.1% |
| Alaska | 20 | 0.1% |
US loan officers and mortgage brokers by industry
By their company's industry on LinkedIn, the 10 largest. Financial Services comes first, with 57.8% of them.
| Industry | With an email or a mobile |
|---|---|
| Financial Services | 10,081 |
| Banking | 5,532 |
| Real Estate | 1,250 |
| Loan Brokers | 91 |
| Business Consulting and Services | 30 |
| Consumer Services | 24 |
| Real Estate Agents and Brokers | 13 |
| Telecommunications | 13 |
| Advertising Services | 11 |
| Environmental Services | 11 |
US loan officers and mortgage brokers by company size
By the employee range on their company's LinkedIn page. The free file holds companies of 11 to 500 employees. The 50M+ dataset holds every size: 76,888 loan officers and mortgage brokers, 22,418 with an email and 38,940 with a mobile. It unlocks once 3 people you invited sign up.
| Employees | With an email or a mobile | Share |
|---|---|---|
| 11-50 | 4,305 | 24.7% |
| 51-200 | 6,851 | 39.3% |
| 201-500 | 6,296 | 36.1% |
How recent the emails are
Each email in the file comes with EMAIL_VALIDATED_AT, the date it was last verified: 8,229 of the 8,274 emails of these loan officers and mortgage brokers (99.5%) were last verified on or after August 1, 2026. A person's job as it is today, their title and company, is the LinkedIn profile behind their URL: the LinkedIn profile API, $1.25 per 1,000 through Up2Data.
Other job titles
CEOs, CFOs, COOs, CTOs, CMOs, CIOs, business owners, founders, company presidents, executive directors, general managers, operations managers and directors, plant managers, facility managers and directors, safety managers and directors, supply chain managers and directors, logistics managers and directors, VPs of sales, VPs of marketing, sales directors, sales managers, marketing directors, marketing managers, HR managers and directors, IT managers and directors, software engineers and developers, VPs and directors of engineering, product managers, project managers, purchasing managers and buyers, realtors and real estate agents, attorneys, paralegals, accountants and CPAs, bookkeepers, controllers, architects, recruiters, office managers, practice managers and administrators, store managers, insurance agents and brokers, physicians, nurses, dentists, pharmacists, physical therapists, veterinarians, financial advisors, property managers, electricians, plumbers, HVAC professionals, superintendents, estimators, truck drivers. All 57, counted side by side: email lists by job title. Companies by industry and state: the free list of US companies.
Questions
How many loan officers and mortgage brokers are in Datacircle's free file?
28,614 people in the free 10M+ US dataset (October 2026) have a current job title of loan officer or mortgage broker, by the title on their LinkedIn profile. 17,452 of them have an email or a mobile phone: 8,274 an email, 14,474 a mobile, 5,296 both.
Can I download a loan officer email list for free?
Yes. Sign up at datacircle.dev with your work email and download the free 10M+ US dataset from your dashboard: one zip with the people and the companies they work at. The loan officers and mortgage brokers are one query on it, printed on this page, which writes them to a CSV with their company, email, mobile phone and LinkedIn URL.
Which state has the most loan officers and mortgage brokers?
California, with 2,159 of the 17,452 who have an email or a mobile (12.4%), then Texas (1,296) and Florida (1,065). The state is the one on their LinkedIn profile.
How recent are the emails?
Each email comes with EMAIL_VALIDATED_AT, the date it was last verified. 8,229 of the 8,274 emails of these loan officers and mortgage brokers (99.5%) were last verified on or after August 1, 2026.
Does it cover companies of every size?
The free file holds people at companies of 11 to 500 employees. Every size is in the 50M+ US dataset: 76,888 loan officers and mortgage brokers, 46,975 with an email or a mobile. It unlocks once 3 people you invited sign up.
Sign up at datacircle.dev with your work email: a $5 credit, that's 4,000 LinkedIn profiles at $1.25 per 1,000. Free: 10M+ U.S. B2B leads, as a flat file. Download it at datacircle.dev.
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