Finance | Statements, Invoices, Fraud Data Labeling

Data Labeling for Finance

Powering Finance Innovation with High-Quality Training Data

Sapien provides expert and scalable data annotation services to fuel the development of sophisticated AI models in the finance sector with high-quality, domain-specific training data.

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Deep Financial Industry Domain Expertise

Our labelers have extensive experience working with financial data across various asset classes, market segments, and financial instruments. They understand the nuances and complexities in finance training data, including market-specific terminologies, regulatory requirements, and data privacy considerations.

Customized Labeling Workflows

At Sapien, we tailor our annotation processes to the specific needs of the finance industry, which includes tasks like classifying and extracting information from financial statements, labeling time-series data for predictive modeling, annotating news sentiment for algorithmic trading, and analyzing customer interactions for compliance monitoring.

Rapid Scaling and Flexible Engagement Models

The Sapien platform enables on-demand scaling of annotation throughput to meet aggressive timelines for financial model development and backtesting. Scale your project up or down with dedicated teams to support both early-stage research initiatives and enterprise-scale deployments across front, middle, and back-office functions.

Rigorous Quality Assurance

Our multi-stage QA processes, combining automated consistency checks, cross-validator consensus, and expert reviews, ensure training data of the highest accuracy and integrity. Sapien's QA is designed to meet the stringent standards of regulated financial applications and the low error tolerance of high-stakes trading and investment decisions.

Quantitative Investing

Fundamental data extraction and normalization
Alternative data classification and sentiment scoring
Earnings call transcript annotation for NLP
Technical indicator and chart pattern labeling

Risk Management

Counterparty risk data extraction and classification
Market event and volatility labeling
Stress testing and scenario annotation
Operational risk taxonomies and incident labeling

Compliance and Fraud Detection

Transaction data labeling for AML pattern detection
KYC document information extraction and verification
Trade surveillance anomaly labeling
Email and chat communication compliance tagging

Customer Insights

Sentiment analysis of customer feedback and interactions
Intent classification for personalized offerings
Churn prediction feature labeling
Life event detection for targeted marketing

Secure and Compliant Finance Data Handling

Sapien maintains ISO 27001 certified data security controls and adheres to data privacy regulations like GDPR, CCPA, and GLBA. Our annotators are trained in handling material non-public information (MNPI) and operate under strict confidentiality agreements.