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financial risk

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DataFunTalk
DataFunTalk
Apr 19, 2024 · Artificial Intelligence

Technology Maturity Curve – Financial Risk Control Overview

This article provides a comprehensive overview of the evolution, current state, and future trends of financial risk control technologies, covering data, feature engineering, modeling, decision-making, product development, challenges, and the impact of large AI models on the industry.

Risk ManagementTechnology Maturityartificial intelligence
0 likes · 29 min read
Technology Maturity Curve – Financial Risk Control Overview
DataFunSummit
DataFunSummit
Oct 8, 2023 · Artificial Intelligence

NLP Techniques for Financial Risk Control: Text Modeling, Non‑Text Modeling, Long‑Text Handling, Multi‑Modal Fusion and Sample Optimization

This article presents a comprehensive overview of how natural language processing is applied to financial risk control, covering text and non‑text sequence modeling, tokenization strategies, transformer‑based long‑text architectures, multi‑modal fusion methods, pre‑training techniques and practical sample‑optimization approaches.

AINLPSample Optimization
0 likes · 22 min read
NLP Techniques for Financial Risk Control: Text Modeling, Non‑Text Modeling, Long‑Text Handling, Multi‑Modal Fusion and Sample Optimization
DataFunSummit
DataFunSummit
Jul 28, 2022 · Databases

TiDB HTAP for Financial Intelligent Risk Control: Architecture, Challenges, and Solutions

This article presents a comprehensive overview of how TiDB's HTAP capabilities enable real‑time multi‑source data processing for financial intelligent risk control, detailing the overall risk‑control architecture, digital transformation challenges, TiDB‑based solutions, practical implementations, and future outlooks.

Database ArchitectureHTAPIntelligent Risk Control
0 likes · 12 min read
TiDB HTAP for Financial Intelligent Risk Control: Architecture, Challenges, and Solutions
DataFunTalk
DataFunTalk
Feb 8, 2022 · Artificial Intelligence

Large-Scale Graph Platform Dxm Eros for Financial Risk Control

This article introduces the Dxm Eros ultra‑large graph platform, detailing its architecture, storage, analysis, modeling, and visualization modules, and demonstrates how graph machine‑learning techniques are applied to financial risk control, fraud detection, anti‑money‑laundering, and automated credit review.

AIKnowledge Graphbig data
0 likes · 18 min read
Large-Scale Graph Platform Dxm Eros for Financial Risk Control
DataFunTalk
DataFunTalk
Nov 11, 2021 · Artificial Intelligence

Applying Graph Neural Networks for Financial Risk Control: A Case Study by Shuhe Technology

This article details how Shuhe Technology leveraged large‑scale graph neural networks, built with DGL and PyTorch, to improve financial fraud detection by preparing massive relationship graphs, pruning sparse nodes, extracting rich features, addressing class imbalance, and achieving a stable AUC gain of about four points.

DGLGATGNN
0 likes · 12 min read
Applying Graph Neural Networks for Financial Risk Control: A Case Study by Shuhe Technology
DataFunSummit
DataFunSummit
Nov 10, 2021 · Artificial Intelligence

Applying Graph Neural Networks for Financial Risk Control: A Case Study by Shuhe Technology

This article describes how Shuhe Technology leveraged graph neural networks to improve financial risk assessment by preparing massive relational graph data, selecting DGL as the development framework, designing a GraphSage‑GAT model, addressing data sparsity and imbalance, and achieving notable AUC gains over traditional methods.

AIGNNGraph Neural Networks
0 likes · 12 min read
Applying Graph Neural Networks for Financial Risk Control: A Case Study by Shuhe Technology
DataFunTalk
DataFunTalk
Nov 3, 2021 · Artificial Intelligence

Deep Learning for Time‑Series Modeling in Financial Risk Management

This article describes how a financial company leveraged deep‑learning sequence models to automatically extract features from massive time‑series data, improving risk‑assessment models and operational efficiency through a unified framework that includes data preprocessing, embedding, field and item aggregation, and end‑to‑end deployment.

AIfeature engineeringfinancial risk
0 likes · 10 min read
Deep Learning for Time‑Series Modeling in Financial Risk Management
DataFunSummit
DataFunSummit
Nov 2, 2021 · Artificial Intelligence

Applying Deep Learning to Time Series Data for Financial Risk Modeling

This article explains how a financial company leverages deep learning sequence models, including embedding, attention, and transformer techniques, to automatically extract features from massive time‑series data, improve risk model performance, and build a reusable, end‑to‑end system framework.

AIAttentiondeep learning
0 likes · 8 min read
Applying Deep Learning to Time Series Data for Financial Risk Modeling
DataFunTalk
DataFunTalk
Oct 8, 2021 · Artificial Intelligence

Graph Computing for Financial Credit Risk Control: Architecture, Challenges, and Lessons Learned

This article explores how graph computing is applied to financial credit risk and anti‑fraud, detailing the business background, terminology, stakeholder roles, system requirements, architectural evolution across three phases, practical challenges, and key take‑aways for building stable, timely, accurate, and controllable graph‑based risk models.

AIGraph Computingfinancial risk
0 likes · 14 min read
Graph Computing for Financial Credit Risk Control: Architecture, Challenges, and Lessons Learned
DataFunSummit
DataFunSummit
Oct 8, 2021 · Artificial Intelligence

Graph Computing for Financial Credit Risk Control and Anti‑Fraud: Architecture, Challenges, and Lessons Learned

This article examines how graph computing is applied to financial credit risk management and anti‑fraud, covering business background, key credit terminology, stakeholder roles, graph‑based fraud detection techniques, system architecture evolution across three development stages, practical requirements such as stability, timeliness, accuracy and controllability, and summarizes operational insights.

AIGraph Computinganti-fraud
0 likes · 16 min read
Graph Computing for Financial Credit Risk Control and Anti‑Fraud: Architecture, Challenges, and Lessons Learned
DataFunTalk
DataFunTalk
Sep 27, 2021 · Artificial Intelligence

Transfer Learning for Financial Risk Control: Theory, Methods, and Empirical Evaluation

This article introduces the fundamentals of transfer learning, explains its theoretical foundations and formulas, and demonstrates how multi‑task learning and domain‑adaptation techniques are applied to financial risk‑control scenarios to overcome label scarcity, distribution shift, and model complexity challenges, presenting detailed experimental results and analysis.

deep learningdomain adaptationfinancial risk
0 likes · 17 min read
Transfer Learning for Financial Risk Control: Theory, Methods, and Empirical Evaluation
Taobao Frontend Technology
Taobao Frontend Technology
Jul 3, 2020 · Frontend Development

Using AST Code Scanning to Stop Financial Losses in Frontend 618 Events

This article explains how the Taobao front‑end team leveraged Abstract Syntax Tree (AST) analysis with Babel to automatically detect risky code patterns—such as default price assignments, improper calculations, and hard‑coded promotional messages—during the 618 promotion, thereby preventing financial loss and public backlash.

ASTBabelCode Scanning
0 likes · 16 min read
Using AST Code Scanning to Stop Financial Losses in Frontend 618 Events
DataFunTalk
DataFunTalk
Jun 12, 2019 · Artificial Intelligence

Credit Scoring Cards vs Machine Learning in Financial Risk Control: Comparative Analysis and Practical Applications

The article compares traditional credit‑scoring‑card models with modern machine‑learning approaches for financial risk control, detailing feature selection criteria, non‑linear handling, data characteristics, practical ML techniques, large‑scale modeling challenges, and summarizing insights for future development.

credit scoringfeature engineeringfinancial risk
0 likes · 14 min read
Credit Scoring Cards vs Machine Learning in Financial Risk Control: Comparative Analysis and Practical Applications
JD Tech
JD Tech
Oct 15, 2018 · Blockchain

Blockchain-Based Financial Risk Data Sharing and Token Settlement Framework

This article proposes a consortium blockchain solution for financial risk data sharing that records query transactions as token‑based entries, enables post‑audit and reversal mechanisms, defines a multi‑type token settlement system, and discusses institution onboarding and future evaluation capabilities.

Data Sharingblockchainconsortium
0 likes · 9 min read
Blockchain-Based Financial Risk Data Sharing and Token Settlement Framework
JD Tech Talk
JD Tech Talk
Aug 30, 2018 · Blockchain

Design of a Blockchain‑Based Financial Risk Data Sharing Alliance (Version 2.0)

The article analyzes the shortcomings of current seller‑driven financial risk data sharing, proposes a blockchain consortium architecture using Hyperledger Fabric, compares a 1.0 token‑based design with an improved 2.0 version that adds a service layer, secure multi‑party computation, and regulatory oversight to achieve fair pricing, data quality, security, and efficient transaction processing.

Data SharingHyperledger FabricToken Economy
0 likes · 13 min read
Design of a Blockchain‑Based Financial Risk Data Sharing Alliance (Version 2.0)
JD Tech Talk
JD Tech Talk
Aug 30, 2018 · Blockchain

Design and Implementation of a Blockchain-Based Financial Risk Data Sharing and Token Settlement System

This article proposes a blockchain-based alliance for financial risk data sharing, detailing the post‑transaction accounting and audit mechanisms, token‑based settlement processes, various transaction types, and the scalability considerations for onboarding new institutions, aiming to improve data quality, pricing fairness, and ecosystem governance.

Data Sharingblockchainconsortium
0 likes · 10 min read
Design and Implementation of a Blockchain-Based Financial Risk Data Sharing and Token Settlement System
JD Tech
JD Tech
Aug 28, 2018 · Blockchain

Design of a Blockchain‑Based Financial Risk Data Sharing Alliance (Version 1.0 & 2.0)

The article describes the business scenario of financial risk data sharing, identifies pain points of current query‑based pricing models, and proposes two blockchain consortium designs—Version 1.0 and an improved Version 2.0—detailing token‑based pricing, smart‑contract accounting, service‑layer architecture, and deployment on Hyperledger Fabric.

Data SharingHyperledger FabricToken Economy
0 likes · 13 min read
Design of a Blockchain‑Based Financial Risk Data Sharing Alliance (Version 1.0 & 2.0)