Finance datasets

Banking transactions, loan data, market analysis

251 ready-made datasets
8 formats, Excel to Parquet
First download free

What the 251 cover1 square = 1 dataset

Payments & messaging101
Credit & lending44
Banking & transactions39
Fraud & AML31
Markets & investing18
Expenses & invoicing13
Everything else5

Grouped by dataset title and tags.

Showing all 24 on this page

Expenses & invoicing

Contract Records

Business contracts, detailing involved parties, contract terms

This dataset provides comprehensive records of business contracts, detailing involved parties, contract terms, monetary values, key dates, renewal options, and compliance status. It enables organizations to manage, track, and audit contractual obligations efficiently, supporting risk mitigation and regulatory compliance. Ideal for legal, procurement, and compliance teams seeking structured contract oversight.

27 cols

contract_title
contract_value
contract_terms
party_a_name
+23

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contract_value: 2100000
party_a_name: Quantix Solutions Inc.
party_b_name: Blue Horizon Tech LLC

Expenses & invoicing

Subscription Billing

Detailed information on customer accounts, subscription plans

This dataset provides a comprehensive view of recurring subscription billing records, including detailed information on customer accounts, subscription plans, payment cycles, renewal schedules, payment failures, and retention status. It enables robust analysis of customer lifetime value, churn prediction, and revenue forecasting for subscription-based businesses.

19 cols

billing_cycle
subscription_start_date
plan_name
plan_price
+15

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billing_cycle: monthly
plan_name: Monthly Basic
plan_price: 9.99

Expenses & invoicing

Expense Reports

Detailed information on receipts, categories, approval workflows

This dataset provides a comprehensive record of employee expense submissions, including detailed information on receipts, categories, approval workflows, and reimbursement tracking. It enables finance teams to efficiently audit expenses, manage approvals, and monitor reimbursement processes for compliance and budget control. The dataset is ideal for financial analysis, policy enforcement, and operational transparency.

19 cols

expense_date
employee_name
department
category
+15

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employee_name: Alice Simmons
department: Engineering
category: Travel

Banking & transactions

Bank Account Details

Account types, balances, transaction limits

This dataset provides comprehensive bank account details for testing and validating banking systems, including account types, balances, transaction limits, and detailed account holder information. It is ideal for simulating real-world banking scenarios, performing system integration tests, and validating compliance requirements in financial applications.

20 cols

account_number
account_type
balance
currency
+16

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account_number: 10001234567891
account_type: checking
balance: 8123.45

Credit & lending

Credit Card Transactions

Transaction amounts, merchant details, timestamps, authorization codes

This dataset provides granular, masked credit card transaction records including transaction amounts, merchant details, timestamps, authorization codes, and fraud flags. It supports robust analysis for fraud detection, merchant risk assessment, and payment trends across regions and card types. The dataset is ideal for financial institutions, payment processors, and analytics teams seeking actionable insights into card-based payments.

17 cols

masked_card_number
transaction_amount
transaction_datetime
card_type
+13

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masked_card_number: ******9274
transaction_amount: 48.75
card_type: Visa

Payments & messaging

Payment History

Payer and payee identifiers, transaction amounts, payment methods, fees

This dataset provides a detailed log of payment transactions, including payer and payee identifiers, transaction amounts, payment methods, fees, and reconciliation status. It is ideal for financial auditing, transaction monitoring, and reconciliation processes, supporting robust analysis and compliance reporting.

13 cols

payment_method
payment_date
amount
currency
+9

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payment_method: credit_card
amount: 34.75
currency: USD

Expenses & invoicing

Invoice Records

Invoice numbers, customer information, payment terms, due dates

This dataset provides detailed business invoice records, including invoice numbers, customer information, payment terms, due dates, and line item breakdowns with amounts and payment status tracking. It enables comprehensive financial analysis, accounts receivable management, and payment compliance monitoring for businesses of any size.

25 cols

invoice_number
invoice_total_amount
customer_name
payment_terms
+21

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invoice_number: 2023-001
invoice_total_amount: 6000
customer_name: Acme Corporation

Finance

Small Business ESG Evaluation Scores

Detailed breakdowns, certifications, and reporting standards

This dataset provides annual ESG (Environmental, Social, Governance) evaluation scores for small businesses, including detailed breakdowns, certifications, and reporting standards. It enables benchmarking, sustainability reporting, and trend analysis, supporting informed decision-making for investors, regulators, and business owners.

19 cols

business_name
environmental_score
social_score
governance_score
+15

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business_name: Green Horizon Markets
environmental_score: 87.5
social_score: 81.2

Credit & lending

Microbusiness Loan Approval Records

Business demographics, financial metrics, and loan terms

This dataset provides detailed records of microbusiness loan applications, approvals, and repayments, including business demographics, financial metrics, and loan terms. It is ideal for analyzing financial inclusion, SME funding strategies, and the impact of lending on microbusiness growth and sustainability.

28 cols

loan_amount_requested
loan_amount_approved
loan_purpose
loan_term_months
+24

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loan_amount_requested: 250000
loan_amount_approved: 210000
loan_purpose: working capital

Markets & investing

Stock Market Volatility Signals

Daily volatility signals across multiple asset classes, combining price

This dataset provides daily volatility signals across multiple asset classes, combining price and volume data with calculated volatility indices, cross-asset comparisons, and sentiment features from news and analyst reports. It is ideal for risk analysis, algorithmic trading, and investment strategy optimization, enabling users to identify market risk and opportunity with rich contextual information.

20 cols

volatility_index
cross_asset_volatility
signal_strength
signal_type
+16

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volatility_index: 1.02
cross_asset_volatility: 0.61
signal_strength: 0.96

Credit & lending

Credit Approval Application Dataset

Applicant demographics, financial background, requested loan details

This dataset provides detailed records of credit applications, including applicant demographics, financial background, requested loan details, application outcomes, and product types. It enables financial institutions to analyze approval rates, assess risk profiles, and optimize credit product offerings for diverse customer segments.

24 cols

applicant_name
credit_score
application_status
application_date
+20

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applicant_name: Jane M. Alvarez
credit_score: 782
application_status: approved

Banking & transactions

Bank Branch Performance Metrics

Account activity, transaction volumes

This dataset provides comprehensive performance metrics for individual bank branches, including account activity, transaction volumes, and customer feedback scores over specific reporting periods. It enables detailed analysis of operational efficiency, customer satisfaction, and issue resolution, supporting data-driven management decisions and branch benchmarking.

19 cols

branch_name
branch_manager
reporting_period_start
reporting_period_end
+15

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branch_name: Downtown Financial
branch_manager: Sarah Martinez
reporting_period_start: 2024-01-01

Banking & transactions

Financial Customer Lifetime Value

Customer lifetime value in financial services

This dataset provides a comprehensive view of customer lifetime value in financial services, combining detailed transaction history, product retention, and churn indicators for each customer-product relationship. It enables granular analysis of customer profitability, retention strategies, and churn prediction, making it ideal for financial institutions seeking to optimize customer engagement and value.

16 cols

customer_name
lifetime_value
customer_join_date
product_type
+12

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customer_name: Jessica Wu
lifetime_value: 6800
product_type: savings_account

Payments & messaging

Peer-to-Peer Payment Analysis

Sender and receiver information, transaction amounts, payment methods

This dataset provides detailed records of peer-to-peer payment transactions, including sender and receiver information, transaction amounts, payment methods, risk flags, and product opportunity indicators. It enables comprehensive analysis of payment trends, user behaviors, geographic patterns, and identification of risky or innovative financial activities for product development.

19 cols

payment_method
transaction_datetime
amount
currency
+15

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payment_method: wallet
amount: 15.5
currency: USD

Banking & transactions

Merchant Transaction Risk Scoring

Transaction details, merchant and customer identifiers

This dataset provides granular records of merchant transactions scored for risk, including transaction details, merchant and customer identifiers, risk assessment metrics, and compliance/fraud flags. It enables financial institutions to identify suspicious activity, support regulatory compliance, and optimize fraud detection workflows with actionable insights.

19 cols

merchant_name
merchant_category
transaction_datetime
transaction_amount
+15

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merchant_name: BrightMart
merchant_category: retail
transaction_amount: 15.99

Credit & lendingTop 10 most opened

Loan Default Prediction Dataset

Payment history and default status, to support advanced risk modeling

This dataset provides detailed borrower profiles and comprehensive loan performance records, including payment history and default status, to support advanced risk modeling and mitigation strategies. It is ideal for predictive analytics, credit scoring, and financial risk assessment in lending environments.

25 cols

loan_amount
loan_term_months
loan_interest_rate
loan_purpose
+21

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loan_amount: 260000
loan_term_months: 180
loan_interest_rate: 4.9

Fraud & AML

Credit Card Fraud Alerts

Suspicious transaction details, merchant information, alert status

This dataset provides detailed records of credit card fraud alerts, including suspicious transaction details, merchant information, alert status, and investigator actions. It enables financial institutions to detect, investigate, and respond to fraudulent activities efficiently, supporting enterprise risk management and loss mitigation.

21 cols

card_number_masked
alert_datetime
alert_status
alert_priority
+17

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card_number_masked: 4281
alert_status: open
alert_priority: 5

Payments & messaging

B2B Invoice Payment Patterns

Invoice amounts, payment delays, business entity profiles, and payment terms

This dataset provides detailed B2B invoice payment histories, including invoice amounts, payment delays, business entity profiles, and payment terms. It enables financial planning, cash flow optimization, and risk assessment by revealing payment patterns and behaviors across industries and geographies.

26 cols

invoice_amount
payment_status
payment_delay_days
invoice_terms
+22

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invoice_amount: 1423.55
payment_status: paid
payment_delay_days: 0

Banking & transactions

Digital Wallet Adoption Dataset

Action logs and rich demographic profiles for users interacting with digital wallets

This dataset provides granular action logs and rich demographic profiles for users interacting with digital wallets, enabling in-depth analysis of adoption drivers and barriers. It supports behavioral segmentation, trend identification, and targeted strategy development for financial technology products.

23 cols

action_type
device_type
os_type
transaction_amount
+19

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action_type: registration
device_type: mobile
os_type: iOS

Credit & lending

SME Lending Decision Dataset

SME loan applications, featuring detailed business profiles

This dataset provides a comprehensive view of SME loan applications, featuring detailed business profiles, financial metrics, application specifics, and lending decisions. It enables robust credit risk modeling, operational analytics, and benchmarking for financial institutions serving small and medium enterprises.

32 cols

decision_status
decision_date
business_name
industry_sector
+28

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decision_status: Approved
business_name: Greenfield Manufacturing Co
industry_sector: Manufacturing

Credit & lending

Credit Card Usage Patterns

Customer demographics, merchant information, and transaction characteristics

This dataset provides detailed, anonymized credit card transaction records, including customer demographics, merchant information, and transaction characteristics. It is designed for in-depth analysis of customer behavior, marketing campaign effectiveness, and fraud detection, making it valuable for financial institutions and data scientists seeking actionable insights.

20 cols

card_type
transaction_datetime
merchant_name
merchant_category
+16

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card_type: Visa
merchant_name: FreshMart
merchant_category: grocery

Fraud & AML

Microtransaction Fraud Scenarios

Microtransaction logs, capturing both legitimate

This dataset provides detailed synthetic microtransaction logs, capturing both legitimate and fraudulent activities with realistic attack scenarios. It includes user, transaction, device, location, and fraud scenario fields, making it ideal for developing, benchmarking, and validating fraud detection models in financial microtransaction environments.

19 cols

is_fraud
fraud_scenario
previous_fraud_count_30d
transaction_type
+15

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is_fraud: false
fraud_scenario: none
previous_fraud_count_30d: 0

Banking & transactions

Bank Customer Segmentation

Demographics, account activity, channel preferences, and churn risk scores

This dataset provides comprehensive behavioral and transaction profiles for bank customers, including demographics, account activity, channel preferences, and churn risk scores. It is designed for advanced customer segmentation, targeted marketing, and predictive analytics to drive retention and personalized banking strategies.

25 cols

marketing_segment
account_type
account_balance
num_accounts
+21

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marketing_segment: urban professionals
account_type: checking
account_balance: 8200.45

Credit & lending

Finance Loan Default Prediction

Demographic, financial, and credit information, as well as loan terms

This dataset provides comprehensive, flat-structured records of individual loans and borrower profiles, including demographic, financial, and credit information, as well as loan terms, status, and default indicators. It is ideal for building predictive models for loan default risk, optimizing lending portfolios, and conducting borrower risk analysis in financial services.

29 cols

loan_amount
loan_term_months
loan_interest_rate
loan_type
+25

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loan_amount: 25000
loan_term_months: 48
loan_interest_rate: 7.2

Real codes. Never real customers.

Code systems found in the sample rows of all 251 finance datasets.

Code systemDatasets using it, of 251

ISO 4217currencies161USD · GBP · EUR
ISO 3166countries144US · USA · FR
SWIFT BICbank identifiers45DEUTDEFFXXX · BOFAUS3N · NWBKGB2L
MCCmerchant categories115814 · 5411 · 5812
IBANaccount numbers7DE89370400440532013000 · IT60X0542811101000000123456 · DE23100100101234567893
SWIFT MTmessage types6MT103 · MT900 · MT202
ISINsecurities4GB00B03MLX29 · DE000BASF111 · FR0000123456
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 251

currency99
transaction_id63
customer_id55
transaction_type49
transaction_amount41

Not quite what you need? Describe it.

One sentence in. A dataset with that pattern out.

Your sentence

Online fraud 4×
Real merchant category codes
Duplicate rows

Preview 20 rows freeNo signup. No card.

Fraud rate by channel

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.
channel	mcc	amount	is_fraud
Online	5411	84.20	1
Chip	5812	23.50	0
Online	5999	412.00	1
Online	5999	412.00	1

A pattern you asked for Everything else

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