UBS Bank USA is a large-loan lender, with a typical loan of $895,000 against $220,000 at similar banks and nearly half its loans above the conforming limit, and its originations rose 33% in 2025, faster than most similar banks.
Jumbo lending sets it apart
Similar lenders are national banks making between half and twice as many loans. Jumbo loans (larger than the conforming limit) were 46.6% of its loans against 3.9%, the highest among similar lenders, though down from 74.1% five years before. Its $4.67 billion originated was also the highest, far above the typical similar bank's $1.05 billion.
Growth well ahead of peers
Originations rose 33% to 3,386, against 7% for similar lenders and 10% for the whole market, higher than about four in five similar lenders. They remain below the 5,938 of 2021. Five years before it bought 676 loans from other lenders; in 2025 it bought none.
Little LMI lending, beside very large loans
LMI (low- and moderate-income) borrowers took 1.3% of its loans against 25.5%, and LMI areas 4.1% against 14.6%, both the lowest among similar lenders. With loans this large, few LMI borrowers may be in its market, and its lending is spread across 50 states rather than one local area, led by New York, Los Angeles and Miami.
Lower rates and no higher-priced loans
Its typical rate was 5.88% against 6.56%, among the lowest tenth, and higher-priced loans (a rate well above the average for similar loans) were 0.0% against 1.1%.
Questions the data can answer next
How does its pricing on jumbo loans compare with other large lenders' in New York and California?
Similar lenders: same lender type, originations between half and twice the lender's in the data year.
Written from the 2025 HMDA data and checked figure by figure against it.
FIG. 1 — LOANS ORIGINATED, 2018–2025
3,386 loans in 2025, against a peak of 5,938 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. UBS Bank USA took 4,480 applications in 2025.
64.4% of its 2025 loans were purchase loans; 100.0% were Conventional.
Purchase 64.4% · Other 22.7% · Refinance 13.0% Conventional 100.0% · of 3,386 loans. Purchase: buying a home. Refinance: replacing an existing mortgage, including cash-out. FHA: insured by the Federal Housing Administration. VA: guaranteed by the Department of Veterans Affairs. Conventional: neither.
SOURCE: FFIEC HMDA 2025, LOANS ORIGINATED
Where it lends, 2025
50 states, 237 metros, 543 counties
State
Loans
Share
California
552
16.3%
Florida
316
9.3%
New York
308
9.1%
Texas
200
5.9%
Colorado
163
4.8%
New Jersey
139
4.1%
Washington
130
3.8%
Massachusetts
124
3.7%
North Carolina
111
3.3%
Arizona
98
2.9%
Largest metro areas, 2025
Loans originated
Metro area
Loans
New York-Jersey City-White Plains
242
Los Angeles-Long Beach-Glendale
138
Denver-Aurora-Centennial
94
Phoenix-Mesa-Chandler
82
Anaheim-Santa Ana-Irvine
81
Seattle-Bellevue-Kent
80
Chicago-Naperville-Schaumburg
72
Nassau County-Suffolk County
69
West Palm Beach-Boca Raton-Delray Beach
62
San Diego-Chula Vista-Carlsbad
60
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300GWD9H4FQ2VR805
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
3212149
2010–2023
Respondent ID (the HMDA filer code before 2018)
357565
2010–2010
Respondent ID (the HMDA filer code before 2018)
93212149
2011–2017
Established 15 September 2003. Reported under HMDA 2010-2025.
UBS Bank USA and its peers, 2018–2025: every application in the HMDA data, cleaned and corrected, as Parquet files, with the Jenner programs that made these pages.
Every mortgage application reported under HMDA from 1990 to 2025, cleaned and corrected, every lender followed across name changes and mergers, with the market-share and fair-lending tables behind these pages and the Jenner programs that built them: the warehouse and the datamart, as Parquet files.
Jenner runs programs written in the SAS language. It drew every chart on these pages and fitted the fair-lending model, PROC GLIMMIX on 3.5 million applications. Run the programs that come with the data, or your own.