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

Banking & transactions

Financial Transaction Pattern Analysis

Financial transaction records enriched with customer segmentation

This dataset provides granular financial transaction records enriched with customer segmentation, merchant categorization, and risk scoring. It enables banks and fintechs to analyze spending patterns, detect fraud, and optimize product offerings for targeted customer profiles. The dataset is ideal for risk management, customer analytics, and personalized financial services.

16 cols

transaction_amount
transaction_type
transaction_date
currency
+12

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transaction_amount: 11245.85
transaction_type: Purchase
currency: USD

Payments & messaging

Supplier Invoice Payment Timelines

Submission, due, and payment dates, amounts, and payment statuses

This dataset provides detailed, chronological records of supplier invoices, including submission, due, and payment dates, amounts, and payment statuses. It enables comprehensive analysis of cash flow, payment compliance, and supplier management, supporting audit, financial planning, and process optimization. The flat structure makes it ideal for integration with BI tools and compliance reporting systems.

19 cols

supplier_name
invoice_number
invoice_amount
payment_amount
+15

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supplier_name: Northland Foods Inc.
invoice_number: NF-20240101-001
invoice_amount: 495.25

Banking & transactions

Cardholder Dispute Resolution Cases

Transaction details, dispute reasons, status progression

This dataset provides detailed, synthetic records of cardholder dispute cases, including transaction details, dispute reasons, status progression, and resolution outcomes. It is designed to support the development and validation of fraud detection and compliance models, as well as operational analytics for financial institutions. All sensitive fields are masked or synthetic to ensure privacy while retaining analytical value.

26 cols

dispute_reason_code
dispute_status
resolution_outcome
dispute_date
+22

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dispute_reason_code: DUPLICATE_CHARGE
dispute_status: RESOLVED
resolution_outcome: CARDHOLDER_REFUNDED

Payments & messaging

Microloan Repayment Performance Records

Payment timing, amounts, borrower demographics, and loan characteristics

This dataset provides granular microloan repayment histories, including payment timing, amounts, borrower demographics, and loan characteristics, across emerging markets and fintech platforms. It is ideal for developing and benchmarking credit scoring models, analyzing repayment patterns, and understanding risk factors in microfinance. The dataset supports advanced analytics for financial inclusion and responsible lending.

21 cols

repayment_amount
scheduled_repayment_amount
repayment_status
is_final_repayment
+17

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repayment_amount: 520.75
scheduled_repayment_amount: 520.75
repayment_status: on_time

Fraud & AML

Payment Fraud Detection Dataset

Payment transaction records, each labeled with ground-truth indicators of fraud

This dataset contains detailed synthetic payment transaction records, each labeled with ground-truth indicators of fraud. It includes transaction metadata, customer and merchant identifiers, payment methods, device and location context, and fraud reasons, making it ideal for developing and benchmarking machine learning models for payment fraud detection and risk mitigation.

19 cols

payment_method
fraud_label
fraud_reason
transaction_datetime
+15

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payment_method: credit_card
fraud_label: false
amount: 249.99

Banking & transactionsTop 10 most opened

Bank Transaction Categorization Sample

Detailed transaction metadata, merchant information

This dataset contains labeled bank transaction records, including detailed transaction metadata, merchant information, and manually or automatically assigned expense categories. It is ideal for developing, training, and benchmarking automated expense categorization models for personal finance, budgeting, and regulatory compliance applications.

17 cols

merchant_category_code
transaction_type
category
transaction_date
+13

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merchant_category_code: 5411
transaction_type: debit
category: groceries

Credit & lending

Loan Application Decision Records

Applicant demographics, financial information, loan terms

This dataset provides detailed, anonymized records of loan applications and their automated approval or rejection outcomes, including applicant demographics, financial information, loan terms, and decision rationale. It is ideal for credit risk modeling, regulatory compliance auditing, and fairness analysis of lending algorithms.

20 cols

decision_datetime
loan_amount
loan_term_months
loan_purpose
+16

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loan_amount: 25000
loan_term_months: 60
loan_purpose: auto

Fraud & AML

Finance AML Transaction Alerts

Banking transactions annotated with anti-money laundering (AML) alert flags

This dataset contains synthetic banking transactions annotated with anti-money laundering (AML) alert flags, detailed reason codes, and customer risk information. It is designed to support the development and evaluation of compliance models, enabling detection of suspicious activities and regulatory reporting. The dataset includes transaction details, alert triggers, and customer risk profiles for comprehensive AML analytics.

18 cols

transaction_datetime
transaction_amount
transaction_type
alert_flag
+14

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transaction_amount: 0
transaction_type: deposit
alert_flag: false

Fraud & AML

Finance Customer Risk Profiles

Demographic information, financial activity metrics, risk scores

This dataset provides detailed synthetic customer risk profiles for financial institutions, including demographic information, financial activity metrics, risk scores, and compliance indicators. It is ideal for developing and testing lending analytics, risk modeling, and anti-money laundering (AML) compliance systems in banking environments.

28 cols

risk_score
risk_category
account_status
annual_income
+24

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risk_score: 0.18
risk_category: low
account_status: active

Banking & transactions

Finance Transaction Time-of-Day Trends

Account, merchant, channel, and location information

This dataset contains detailed, timestamped financial transactions from retail banks and payment processors, including account, merchant, channel, and location information. Designed for in-depth analysis of temporal spending patterns, fraud detection, and channel usage trends, it supports a wide range of financial analytics and business intelligence applications.

15 cols

transaction_amount
transaction_type
transaction_status
currency_code
+11

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transaction_amount: -54.23
transaction_type: purchase
transaction_status: completed

Credit & lending

Credit Card Limit Optimization

Current and optimal credit limits, risk and utilization metrics

This dataset provides detailed records of credit card accounts, including current and optimal credit limits, risk and utilization metrics, payment history, and historical limit adjustments. Designed for credit risk modeling and customer optimization, it supports advanced analytics for limit management, customer segmentation, and predictive modeling in financial services.

18 cols

current_credit_limit
optimal_credit_limit
last_limit_adjustment_amount
limit_adjustment_reason
+14

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current_credit_limit: 85000
optimal_credit_limit: 90000
last_limit_adjustment_amount: 5000

Banking & transactionsTop 10 most opened

Banking Transaction Categorization Dataset

Transaction amounts, merchant details, categories

This dataset provides detailed, labeled banking transaction records, including transaction amounts, merchant details, categories, and recurrence information. It is ideal for developing and benchmarking expense tracking, personal finance management, and automated categorization tools. The dataset enables granular financial analysis and supports machine learning applications for transaction classification.

18 cols

transaction_time
merchant_category_code
category
transaction_type
+14

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merchant_category_code: 5411
category: Groceries
transaction_type: debit

Finance

Finance-Technology Support Interactions

Support ticket interactions for financial technology products

This dataset provides detailed logs of support ticket interactions for financial technology products, capturing issue types, escalation events, resolution times, agent assignments, and customer satisfaction ratings. It enables in-depth analysis of support efficiency, automation opportunities, and escalation trends, making it valuable for optimizing customer service operations and product support strategies.

21 cols

submitted_datetime
customer_name
product_name
issue_type
+17

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customer_name: Patricia Lee
product_name: FinFlow Mobile Banking
issue_type: login

Fraud & AML

Financial Transaction Fraud Scores

Bank transactions, each annotated with a synthetic fraud risk score

This dataset provides detailed, structured records of bank transactions, each annotated with a synthetic fraud risk score and binary fraud label. It includes transaction, account, merchant, and contextual information, making it ideal for training and evaluating fraud detection and risk assessment models. The dataset supports feature engineering for advanced analytics and machine learning applications in financial security.

19 cols

transaction_datetime
transaction_amount
transaction_type
fraud_score
+15

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transaction_amount: 52.47
transaction_type: purchase
fraud_score: 0.05

Credit & lending

Synthetic Microloan Performance Dataset

Origination, borrower demographics, repayment schedules, delinquency events

This dataset provides detailed, synthetic records of small business and personal microloans, including origination, borrower demographics, repayment schedules, delinquency events, and recovery outcomes. It is ideal for developing and benchmarking credit risk models, analyzing financial inclusion, and studying loan performance patterns across diverse borrower segments.

30 cols

loan_type
loan_amount
currency
interest_rate
+26

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loan_type: personal
loan_amount: 800
currency: USD

Finance

Corporate ESG Compliance Disclosures

Company identifiers, reporting periods, ESG scores, emissions

This dataset provides detailed, standardized records of corporate ESG (Environmental, Social, and Governance) compliance disclosures, including company identifiers, reporting periods, ESG scores, emissions, diversity metrics, and policy indicators. It enables robust benchmarking, analytics, and transparency for investors, regulators, and sustainability analysts seeking to evaluate enterprise ESG performance and compliance trends.

29 cols

esg_framework
total_esg_score
esg_controversies_count
disclosure_url
+25

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esg_framework: GRI
total_esg_score: 18.57
esg_controversies_count: 18

Markets & investing

Financial Portfolio Stress Testing

Asset-level and portfolio-level impacts under various macroeconomic

This dataset provides detailed results of simulated financial portfolio stress tests, including asset-level and portfolio-level impacts under various macroeconomic and market shock scenarios. It supports regulatory compliance, risk analytics, and scenario-based portfolio management, making it ideal for financial institutions and risk professionals seeking robust stress testing automation.

22 cols

portfolio_name
portfolio_owner
total_portfolio_value
portfolio_value_post_scenario
+18

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portfolio_name: US Large Cap Equity Growth
portfolio_owner: Prime Asset Management
total_portfolio_value: 50000000

Banking & transactions

Banking Transaction Graphs Dataset

Interconnected banking transaction records, capturing sender

This dataset provides detailed, interconnected banking transaction records, capturing sender and receiver relationships, transaction metadata, and anomaly flags. Designed for network analytics, it enables advanced anti-money laundering (AML) detection, fraud analysis, and financial behavior modeling by representing transactions as a directed graph. The flat structure ensures easy integration with machine learning and graph analytics tools.

16 cols

transaction_type
transaction_status
amount
currency
+12

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transaction_type: payment
transaction_status: completed
amount: 56.23

Credit & lending

Automated Loan Application Assessment

Applicant demographics, financial profiles, loan details

This dataset contains detailed synthetic records of loan applications, including applicant demographics, financial profiles, loan details, automated risk assessments, and approval or denial outcomes. It is ideal for developing and evaluating AI models for credit decisioning, risk analysis, and fair lending compliance, with fields supporting bias detection and explainability. The data structure enables robust analytics for both operational and regulatory use cases.

30 cols

applicant_marital_status
applicant_employment_status
applicant_annual_income
applicant_credit_score
+26

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applicant_marital_status: married
applicant_employment_status: employed
applicant_annual_income: 78500

Banking & transactions

ATM Usage and Failure Events

Detailed transaction records, failure diagnostics, and maintenance actions

This dataset provides a comprehensive log of ATM usage and failure events, including detailed transaction records, failure diagnostics, and maintenance actions. It enables financial institutions to analyze ATM performance, optimize service schedules, and implement predictive maintenance strategies for improved uptime and customer satisfaction.

25 cols

atm_location_name
event_type
event_datetime
failure_type
+21

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atm_location_name: Downtown Branch
event_type: transaction
atm_status_post_event: operational

Fraud & AML

Online Merchant Fraud Indicators

Transaction volumes, chargeback rates, fraud losses

This dataset provides merchant-level fraud signals and outcomes, including transaction volumes, chargeback rates, fraud losses, and calculated risk scores. Designed for supervised learning and analytics, it enables robust fraud detection, risk profiling, and compliance monitoring for online payment platforms. The comprehensive structure supports both operational and predictive use cases in fraud prevention.

21 cols

merchant_name
merchant_category
fraud_flag_last_30d
fraud_type_last_30d
+17

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merchant_name: Vivid Electronics Ltd
merchant_category: electronics
fraud_flag_last_30d: false

Banking & transactions

Transaction Categorization Dataset

Raw descriptions, merchant information, categorized labels

This dataset provides a comprehensive, labeled collection of real-world bank transactions, including raw descriptions, merchant information, categorized labels, and enrichment fields for AI training. It enables robust development of transaction categorization, statement enrichment, and personal finance analytics models, supporting both supervised and semi-supervised learning scenarios.

20 cols

merchant_category_code
category
transaction_type
balance_after_transaction
+16

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merchant_category_code: 5942
category: Shopping
transaction_type: debit

Payments & messaging

Customer Loan Repayment Histories

Payment amounts, statuses, timing, and outstanding balances

This dataset provides granular, event-level records of customer loan repayments, including payment amounts, statuses, timing, and outstanding balances. It enables robust risk modeling, customer segmentation, and repayment behavior analysis for lenders and financial institutions. The inclusion of customer and loan attributes supports advanced analytics and credit scoring applications.

20 cols

loan_amount
loan_status
loan_start_date
loan_end_date
+16

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loan_amount: 10000
loan_status: active
payment_amount: 322.5

Banking & transactions

Bank Call Center Interaction Logs

Timing, outcomes, speech analytics, sentiment, and satisfaction scores

This dataset provides granular logs of bank call center interactions, capturing detailed information about each customer-agent conversation, including timing, outcomes, speech analytics, sentiment, and satisfaction scores. It enables comprehensive analysis of customer experience, agent performance, and operational trends, supporting both quality assurance and advanced speech analytics use cases.

18 cols

interaction_datetime
interaction_duration_seconds
call_direction
call_channel
+14

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interaction_duration_seconds: 415
call_direction: inbound
call_channel: phone

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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