Finance datasets

Banking transactions, loan data, market analysis

  • 248 ready-made datasets
  • 8 formats, Excel to Parquet
  • First download free
What the 248 cover1 square = 1 dataset
  • Payments & messaging101
  • Credit & lending44
  • Banking & transactions36
  • Fraud & AML31
  • Markets & investing18
  • Expenses & invoicing13
  • Everything else5
Grouped by dataset title and tags.

248 datasets · page 1 of 11

Showing all 24 on this page

Banking & transactions

Ready-Made Accounting Dataset for Practice

This ready-made accounting dataset provides 38,718 rows of synthetic financial data

This ready-made accounting dataset provides 38,718 rows of synthetic financial data for practicing data analysis. It includes accounts, transactions, and ledgers, suitable for finance professionals and students. A free sample is available, with full downloads costing credits.

4 cols

  • account_name
  • account_type
  • opening_balance
  • account_id
Open in factory

Fraud & AML

Marketplace Fraud Pattern Detection Logs

Event logs from online B2B marketplace transactions, capturing session

This synthetic dataset provides detailed, anonymized event logs from online B2B marketplace transactions, capturing session, transaction, device, and behavioral characteristics. It is specifically designed for developing and evaluating AI-driven fraud detection models, enabling compliance teams and operators to identify subtle and complex fraud patterns without exposing real customer data. The dataset supports both supervised and unsupervised machine learning use cases, with rich contextual information for advanced analytics.

22 cols

  • fraud_label
  • event_type
  • event_result
  • device_type
  • +18
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fraud_label
normal
event_type
login
event_result
success

Expenses & invoicingTop 10 most opened

Accounts Receivable and Aging Analysis

Accounts receivable balances, aging buckets, collection rates, bad debt

This dataset provides a comprehensive view of accounts receivable balances, aging buckets, collection rates, bad debt, write-offs, and AR days, enabling organizations to monitor financial performance and optimize collection strategies. It supports granular analysis by payer and invoice, facilitating prioritization of collection efforts and risk assessment for outstanding receivables.

16 cols

  • aging_bucket
  • payment_received
  • payer_name
  • payer_type
  • +12
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aging_bucket
1-30
payment_received
2350
payer_name
Springfield Health Insurance

Payments & messaging

Premium Finance Agreements

Third-party premium finance agreements, detailing finance company, borrower

This dataset provides a comprehensive record of third-party premium finance agreements, detailing finance company, borrower, and insurer information, loan terms, payment schedules, and compliance events. It is ideal for financial analysis, risk management, regulatory reporting, and operational oversight in the insurance and finance industries.

38 cols

  • finance_company_name
  • agreement_status
  • agreement_start_date
  • agreement_end_date
  • +34
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finance_company_name
Liberty Finance LLC
agreement_status
completed
borrower_name
Apex Construction Inc.

Payments & messaging

Customer Payment History and Credit Scoring

Subscriber payment transactions, invoice histories, payment methods

This dataset provides a detailed record of subscriber payment transactions, invoice histories, payment methods, late payment incidents, collections status, deposit requirements, and credit scores for postpaid eligibility. It enables comprehensive analysis of customer financial behavior, risk assessment, and credit management for telecommunications or finance providers.

24 cols

  • payment_amount
  • payment_method
  • is_late_payment
  • late_payment_days
  • +20
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payment_amount
109.99
payment_method
credit_card
is_late_payment
false

Payments & messaging

CHIPS Payment Messages

Sender and receiver details, transaction amounts, settlement status

This dataset provides comprehensive records of high-value USD payment messages processed through the Clearing House Interbank Payments System (CHIPS), including sender and receiver details, transaction amounts, settlement status, and end-of-day netting batch information. It is ideal for financial institutions, regulators, and analysts seeking to monitor, audit, and optimize cross-border and domestic payment flows.

30 cols

  • payment_amount
  • payment_type
  • purpose_of_payment
  • message_status
  • +26
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payment_amount
13025.75
payment_type
domestic
purpose_of_payment
Payroll Payment April

Payments & messaging

Fedwire Transfer Messages

Sender and receiver information, transaction amounts, payment types

This dataset contains detailed records of real-time gross settlement Fedwire transfers, including sender and receiver information, transaction amounts, payment types, and settlement status. It enables analysis of large-value and time-critical payments with central bank guarantees, supporting financial compliance, risk management, and operational transparency.

29 cols

  • transaction_datetime
  • message_text
  • amount
  • currency
  • +25
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amount
2500000
currency
USD
sender_bank_name
JPMorgan Chase

Fraud & AML

Card Fraud Patterns

Transaction details, fraud types, merchant and cardholder information

This dataset provides detailed records of credit and debit card fraud incidents, including transaction details, fraud types, merchant and cardholder information, detection methods, and case resolution status. It enables comprehensive analysis of fraud patterns, financial losses, and recovery efforts, supporting risk management and regulatory compliance in the financial sector.

25 cols

  • card_number_masked
  • card_type
  • fraud_type
  • fraud_datetime
  • +21
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card_number_masked
4926
card_type
credit
fraud_type
skimming

Fraud & AML

Identity Theft Cases

Victim demographics, fraudulent account details, financial losses

This dataset provides detailed records of reported identity theft cases, including victim demographics, fraudulent account details, financial losses, resolution status, and law enforcement involvement. It is ideal for financial institutions, law enforcement agencies, and researchers seeking to analyze trends, assess risk, and improve fraud prevention strategies.

24 cols

  • fraud_account_type
  • fraud_account_number
  • financial_loss_amount
  • resolution_status
  • +20
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fraud_account_type
credit_card
fraud_account_number
4123456789123456
financial_loss_amount
679.23

Credit & lending

Credit Card Risk Assessment

Customer demographics, credit limits, utilization rates, payment behaviors

This dataset provides a comprehensive view of credit card applications and account management, including customer demographics, credit limits, utilization rates, payment behaviors, rewards tracking, and risk-based pricing. It is ideal for risk modeling, customer segmentation, and financial product optimization in the banking and credit industry.

30 cols

  • credit_limit
  • risk_score
  • account_status
  • current_balance
  • +26
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credit_limit
7500
risk_score
0.28
account_status
active

Credit & lending

Mortgage Underwriting Data

Applicant demographics, property appraisals, title search results

This dataset provides a detailed record of residential mortgage applications, including applicant demographics, property appraisals, title search results, income documentation, loan-to-value calculations, and compliance with GSE guidelines. It is ideal for risk assessment, regulatory compliance analysis, and process optimization in mortgage underwriting.

23 cols

  • applicant_ssn
  • applicant_income
  • income_documentation_type
  • property_appraisal_value
  • +19
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applicant_ssn
294-77-3812
applicant_income
98300.25
income_documentation_type
W-2

Credit & lending

Credit Scoring Models Data

Credit risk scoring for lending decisions, combining FICO

This dataset provides a comprehensive view of credit risk scoring for lending decisions, combining FICO and alternative scores, bureau data, model versions, and detailed score change history. It enables robust analysis of applicant risk profiles, model performance, and regulatory compliance in credit decisioning.

21 cols

  • scoring_model_version
  • fico_score
  • alternative_score
  • lending_decision
  • +17
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scoring_model_version
v4.1.0
fico_score
785
alternative_score
850.5

Credit & lending

Loan Application Data

Consumer and commercial loan applications, capturing applicant information

This dataset provides a comprehensive record of consumer and commercial loan applications, capturing applicant information, credit history, income verification, collateral details, and underwriting decisions. It enables robust analysis of lending trends, risk profiles, and operational efficiency for financial institutions.

32 cols

  • application_type
  • applicant_type
  • applicant_business_name
  • loan_amount_requested
  • +28
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application_type
consumer
applicant_type
individual
loan_amount_requested
42000.75

Markets & investing

MiFID II Transaction Reporting

Instrument details, parties involved, execution specifics

This dataset provides comprehensive, standardized records of securities transactions as required by MiFID II regulations, including instrument details, parties involved, execution specifics, and regulatory flags. It is ideal for regulatory reporting, market surveillance, and compliance analytics in European financial markets.

20 cols

  • transaction_type
  • transaction_status
  • transaction_reference
  • transaction_flags
  • +16
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transaction_type
buy
transaction_status
executed
transaction_reference
REF-20240614-EQ-01

Banking & transactions

Common Reporting Standard (CRS) Data

Account holder identification, balances, income types

This dataset provides comprehensive, standardized records of financial accounts reported under the OECD Common Reporting Standard (CRS), including account holder identification, balances, income types, and reporting jurisdictions. It enables cross-border tax compliance analysis, risk assessment, and regulatory oversight for participating countries and financial institutions.

26 cols

  • reporting_jurisdiction
  • reporting_period_start
  • reporting_period_end
  • crs_status
  • +22
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reporting_jurisdiction
USA
reporting_period_start
2023-01-01
reporting_period_end
2023-12-31

Fraud & AML

Beneficial Ownership Information

Ultimate owner identities, ownership percentages, control mechanisms

This dataset provides detailed beneficial ownership information for legal entities, including ultimate owner identities, ownership percentages, control mechanisms, and verification status. It is designed for transparency, regulatory compliance, and risk management, supporting FinCEN Customer Due Diligence (CDD) rule requirements and anti-money laundering initiatives.

23 cols

  • owner_nationality
  • ownership_percentage
  • is_direct_owner
  • ownership_start_date
  • +19
Open in factory
owner_nationality
American
ownership_percentage
37.5
is_direct_owner
true

Fraud & AML

Transaction Monitoring Alerts

Automated transaction monitoring alerts

This dataset provides comprehensive records of automated transaction monitoring alerts, capturing suspicious activity such as unusual patterns, velocity checks, geographic anomalies, and behavioral red flags. It includes transaction details, customer risk scores, alert types and severities, investigation status, and resolution notes, making it ideal for financial crime detection, compliance reporting, and operational analytics.

20 cols

  • alert_datetime
  • transaction_datetime
  • transaction_amount
  • transaction_currency
  • +16
Open in factory
transaction_amount
2550.75
transaction_currency
USD
transaction_type
withdrawal

Fraud & AML

Sanctions Screening Results

Real-time and batch sanctions screening results against major global lists such as OFAC

This dataset provides detailed, real-time and batch sanctions screening results against major global lists such as OFAC, UN, and EU. It includes entity details, match scores, false positive resolutions, and alert dispositions, enabling comprehensive compliance monitoring, audit trails, and risk analytics for financial institutions and regulated organizations.

18 cols

  • screening_datetime
  • screening_mode
  • sanctions_list
  • matched_sanctioned_party_name
  • +14
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screening_mode
real-time
sanctions_list
OFAC
matched_sanctioned_party_name
Maria Gomez

Fraud & AML

Currency Transaction Reports (CTR)

Detailed customer identification, transaction specifics

This dataset provides comprehensive records of currency transaction reports, including detailed customer identification, transaction specifics, and institutional information, along with structuring detection indicators. It is essential for regulatory compliance, anti-money laundering efforts, and financial crime analytics, supporting robust monitoring and investigation of high-value cash transactions.

32 cols

  • transaction_time
  • transaction_amount
  • currency_code
  • transaction_type
  • +28
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transaction_amount
13762.55
currency_code
USD
transaction_type
deposit

Payments & messaging

SWIFT MT195 Request for Cancellation

Sender and receiver institutions, references to original SWIFT messages

This dataset provides detailed records of SWIFT MT195 Request for Cancellation messages, including sender and receiver institutions, references to original SWIFT messages, cancellation reasons, request status, and initiator contact details. It is ideal for financial institutions seeking to audit, monitor, and analyze cancellation activity within SWIFT messaging workflows, supporting compliance, risk management, and operational efficiency.

14 cols

  • cancellation_reason_code
  • cancellation_reason_text
  • request_status
  • request_date
  • +10
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cancellation_reason_code
ERR
request_status
pending
sender_bic
DEUTDEFFXXX

Payments & messaging

SWIFT MT921 Request for Payment Stop

Checks, standing orders, and specific transactions

This dataset provides a comprehensive record of customer-initiated payment stop requests, including checks, standing orders, and specific transactions, processed by banks via SWIFT MT921 messages. It captures key details such as customer and bank identifiers, payment instrument information, request status, and processing audit trails, making it ideal for compliance monitoring, fraud prevention, and operational analytics.

18 cols

  • request_datetime
  • stop_type
  • customer_name
  • customer_account_number
  • +14
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stop_type
check
customer_name
Ahmed Al-Farsi
customer_account_number
AE23033123456789123456789012

Payments & messaging

SWIFT MT920 Request for Balance Information

Unique identifiers, institutional details, account holder information

This dataset contains detailed records of SWIFT MT920 requests for account balance information, including unique identifiers, institutional details, account holder information, and request statuses. It is designed to support financial institutions in tracking, auditing, and analyzing balance inquiries between account holders and servicing banks, enabling compliance, operational efficiency, and customer service improvements.

18 cols

  • request_datetime
  • requested_balance_type
  • requesting_institution_bic
  • requesting_institution_name
  • +14
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requested_balance_type
current
requesting_institution_bic
DEUTDEFFXXX
requesting_institution_name
Deutsche Bank AG

Payments & messaging

SWIFT MT910 Credit Confirmation

Transaction amounts, dates, involved institutions, and account owner details

This dataset provides detailed records of SWIFT MT910 credit confirmations, including transaction amounts, dates, involved institutions, and account owner details. It is ideal for financial reconciliation, audit trails, and compliance reporting, offering granular visibility into credited transactions across banking networks.

24 cols

  • credit_amount
  • confirmation_status
  • confirmation_datetime
  • message_reference
  • +20
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credit_amount
1250.75
confirmation_status
confirmed
message_reference
MSG20240603-101A

Payments & messaging

SWIFT MT900 Debit Confirmation

Transaction references, account and institution identifiers, amounts

This dataset provides detailed records of SWIFT MT900 debit confirmations, including transaction references, account and institution identifiers, amounts, currencies, and timestamps. It is designed for financial reconciliation, audit trails, and regulatory reporting, supporting robust analysis of account debits and institutional activity.

17 cols

  • debit_amount
  • debit_datetime
  • debit_reason
  • confirmation_datetime
  • +13
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debit_amount
4200.75
debit_reason
Mortgage payment May
message_type
MT900

Real codes. Never real customers.

Code systems found in the sample rows of all 248 finance datasets.

Code systemDatasets using it, of 248
  1. ISO 4217currencies161USD · GBP · EUR
  2. ISO 3166countries144US · USA · FR
  3. SWIFT BICbank identifiers45DEUTDEFFXXX · BOFAUS3N · NWBKGB2L
  4. MCCmerchant categories115814 · 5411 · 5812
  5. IBANaccount numbers7DE89370400440532013000 · IT60X0542811101000000123456 · DE23100100101234567893
  6. SWIFT MTmessage types6MT103 · MT900 · MT202
  7. ISINsecurities4GB00B03MLX29 · DE000BASF111 · FR0000123456
  8. ISO 20022payment messages3ACCP · pacs.008
A person from the Identity Theft Cases datasetGenerated
victim_first_name
Jessica
victim_last_name
Mendoza
victim_date_of_birth
1988-03-25
victim_gender
female

Generated

Most common columnsDatasets, of 248
  1. currency99
  2. transaction_id62
  3. customer_id53
  4. transaction_type49
  5. transaction_amount41

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

  • Online fraud 4×
  • Real merchant category codes
  • Duplicate rows
Preview 20 rows freeNo signup. No card.
Fraud rate by channel
0%2.5%5%1%Chip1%Contactless4%Online11%Phone
Sample rows for: Card payments from 5,000 customers, where online payments are 4× more likely to be fraud, with real merchant category codes and a few duplicate rows.
channelmccamountis_fraud
Online541184.201
Chip581223.500
Online5999412.001
Online5999412.001

A pattern you asked for Everything else

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