FEG

What FEG does

FEG (Financial Engineering Group / 金融エンジニアリング・グループ) is a Tokyo-headquartered data science professional services firm founded in 1989, operating as a strategic subsidiary of NSSOL (Nippon Steel Solutions). The company's core business is credit risk modeling and loan screening systems for Japanese financial institutions — including banks, credit unions, card and credit companies, leasing firms, non-bank lenders, and government financial institutions. Its product portfolio centers on unsecured and housing loan initial screening models, card loan in-progress evaluation models, ongoing model monitoring services, the G-SYSTEM personal credit information inquiry platform (integrated with the KSC, CIC, and JICC credit bureaus), an individual loan screening workflow system, and an ATM loan pre-credit model built on bank account transaction data. Underlying the offering is a broad ML/AI stack spanning gradient boosted decision trees (XGBoost, LightGBM, Random Forest), deep learning architectures (CNN, LSTM, GNN, ViViT), GAN-based generative and anomaly detection, NLP for text classification and RAG-based chatbots, and computer vision for image classification and video-based accident detection.

FEG monetizes primarily through professional services engagements — custom model development, consulting, system implementation, and ongoing monitoring contracts — with pricing tailored per client and not publicly disclosed. Go-to-market is direct enterprise sales to financial institutions, supplemented by thought-leadership channels including the annual FEG Financial Seminar (9th edition in June 2026, with 40+ attending institutions) and the company's founding board membership in the Data Scientist Association since 2013. Beyond financial services, FEG extends its data science capabilities to non-financial industries (retail, distribution, advertising, telecom, manufacturing, government) via AI/DX solutions including demand forecasting, customer targeting, email campaign optimization, product recommendation, image and text analytics, and a 3-month data science training program. Technical credibility is externally validated by four top-10 finishes in the ACM SIGKDD KDD Cup international data mining competition (2nd in 2009, 2nd in 2015, 5th in 2019, 7th in 2022).

Name

FEG

Legal name

株式会社金融エンジニアリング・グループ

Website

https://feg.co.jp

Company type

Private

Founded year

1989

Operating status

Operating

Headcount range

51–100 employees

Short description

FEG is a Tokyo-based data science professional services firm founded in 1989 and a subsidiary of NSSOL. It builds credit scoring models, loan screening systems, and monitoring tools primarily for Japanese financial institutions, with secondary AI/DX solutions for non-financial enterprises.

Ownership category

akta.pro rank

Product category

Credit Risk Analytics and Data Science Services

NAICS

Other Scientific and Technical Consulting Services (54169), Custom Computer Programming Services (541511)

SIC

Services-Engineering, Accounting, Research, Management (8700)

akta.pro primary industry

Risk, Controls & Governance (GRC) Platforms (FSAFAOAG)

Keywords

• Credit risk modeling
• Data science consulting
• AI DX solutions
• Loan screening models
• Predictive analytics services

Headquarters

HQ city

Tokyo

HQ country

Japan

HQ region

Asia

Offices2 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales

Revenue model

1. Consulting Services: FEG provides data science consulting services to financial institutions and other companies. Services include model construction, validation, and analysis using statistical models and machine learning techniques including deep learning. The company offers end-to-end support from consulting through implementation and ongoing monitoring.
2. Model Development & System Integration: Custom model development for credit screening, demand forecasting, customer targeting, and other use cases. Models are delivered through system implementation, specification documentation, or as tools for client deployment. The company also offers complete loan screening system solutions.

Go-to-market motion2 records

Distribution channels1 record

Marketing channels5 records

Core offering

FEG is a data science professional services firm that develops and deploys credit risk assessment models and AI/DX solutions for Japanese financial institutions. Its core offerings include custom credit scoring models for unsecured loans, housing loans, and card loans, plus the G-SYSTEM credit bureau inquiry platform and an Individual Loan Screening System. The firm also delivers consulting, implementation, and ongoing monitoring services across the full model lifecycle, with extensions into demand forecasting, recommendation, and computer vision solutions for non-financial industries.

Product overview

FEG (Financial Engineering Group) is a data science professional services firm providing AI and DX solutions primarily to financial institutions in Japan. The core product portfolio centers on credit risk management and loan evaluation models, comprising: (1) Credit Screening Models including unsecured loan initial screening models (standard and custom), housing loan initial screening models with scoring and pricing, and card loan in-progress evaluation models (standard and custom); (2) Monitoring Services including unsecured loan monitoring, housing loan monitoring with portfolio evaluation, and housing loan consortium data pooling; (3) Systems including G-SYSTEM personal credit information inquiry system connecting to KSC/CIC/JICC bureaus, and individual loan screening system for end-to-end automation; (4) Supplementary AI/ML Services including ATM loan pre-credit models using bank transaction data, product recommendation models, email targeting models, demand forecasting, image generation and classification, text classification, and data science training programs. The company also provides general AI/DX solutions for non-financial industries. All offerings leverage machine learning techniques including GBDT, XGBoost, LightGBM, CNN, and GAN models.

Differentiator

Problem solved

Functional benefit

Brands

• FEG金融セミナー: Seminar series for financial institutions hosted by FEG, with nationwide participation from over 40 financial institutions per event
• FEG&NSSOL@DataVeraci

Products and services

• Unsecured Loan Initial Screening Model (無担保ローン初期審査モデル) Custom credit scoring model that predicts default rates of unsecured loan applicants for financial institutions using credit bureau information and internal data, supporting approval/rejection decisions to optimize loan portfolio returns.
• Unsecured Loan Standard Model (無担保ローン初期審査標準モデル) Pre-built unsecured loan screening model leveraging multi-bank consortium data, deployable by financial institutions that lack their own historical screening data.
• Housing Loan Initial Screening Model (住宅ローン初期審査モデル) Scoring model that estimates default probability and a pricing model that calculates credit cost for housing loan applications, using credit bureau and account attribute data.
• Card Loan In-Progress Evaluation Model (かんたんローン途上評価モデル) Custom model that predicts default probability for card loan customers during the loan period, supporting credit line increase decisions and ongoing portfolio monitoring.
• Card Loan Standard Evaluation Model (かんたんローン途上評価標準モデル) Pre-built card loan evaluation model built on multi-bank consortium data that can be deployed without the client's own historical loan performance data.
• Personal Credit Information System G-SYSTEM (個人信用情報照会システムG-SYSTEM) Personal credit information inquiry system that connects to KSC, CIC, and JICC credit bureaus, providing name matching, aggregation functions, and built-in scoring models for credit decisions.
• Individual Loan Screening System (個人ローン審査システム) Web-based system that automates individual loan application processing from intake through approval, including eligibility checking, credit bureau integration, risk mitigation models, and multi-branch support.
• Unsecured Loan Monitoring Service (無担保ローンモニタリング) Ongoing monitoring service for deployed credit scoring models, covering approval rate analysis, model accuracy verification, external criteria validation, and portfolio revenue evaluation.
• Housing Loan Consortium (住宅ローンコンソーシアム) Data pooling consortium in which participating banks share housing loan application and repayment data for benchmarking and competitive analysis.
• AI/DX Solutions for Non-Financial Industries (AI・DXソリューション) Custom AI and data science consulting services for non-financial sectors (retail, distribution, advertising, telecom, manufacturing, government), including demand forecasting, customer targeting, text analysis, and image analysis.

Quantifiable outcome

• Top-level domestic market share in credit screening model deployment for financial institutions
• +1 more outcomes

Named customers7 records

Segments2 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration4 records

AI capability17 records

Feature8 records

Partnerships

Seven partnerships are on record, tiered secondary and core.

• 株式会社肥後銀行 (Higo Bank)secondaryStrategic or Co-development Partner · 10 September 2024Joint internship program with Higo Bank for data analysis training. FEG and Higo Bank co-host internship programs where students work on real bank data for car loan demand model construction and campaign proposals. First program held September 2024 with 11 students; second program August 2025 with 10 students.
• NTT東日本secondaryTechnology or Integration · 28 April 2024FEG partnered with NTT East for cloud infrastructure to support the joint internship with Higo Bank. The internship required high security for bank data handling and private cloud environment for nationwide student participants. FEG's case study was featured in NTT East's Cloud Solution Case Studies collection.
• 日鉄ソリューションズ株式会社 (NSSOL)coreStrategic or Co-development Partner · 1 June 2011NSSOL is the parent company of FEG. The two companies established the Data Science & Technology Center in June 2011 to strengthen capabilities in data analysis, modeling, and strategic information utilization. Joint teams have competed in and won awards in KDD Cup international competitions. NSSOL's Data Veraci integrated data analysis environment enables collaboration across data scientists with different specializations.
• 日鉄ソリューションズ株式会社 (NSSOL)coreTechnology or IntegrationJoint development using NSSOL's 'Data Veraci' integrated data analysis environment, which enables highly advanced collaboration among data scientists with various specializations.
• 一般社団法人はdataサイエンティスト協会coreOthersFEG has been a board member company (幹事会員) since the Data Scientist Association's founding in 2013, playing a central role in its activities. Executive Officer Shiya 周久 serves as chairman of the Research Committee. The company actively participates in association surveys, symposiums, and education initiatives.
• 株式会社日本信用情報機構secondaryGTM or Marketing PartnerPresented at FEG Financial Seminar on loan market trends from their data perspective.
• 株式会社TRUSTDOCKsecondaryGTM or Marketing PartnerPresented at FEG Financial Seminar on identity verification and corporate verification solutions for business risk mitigation.

Scale indicators5 records

Recent moves7 records

Expansion highlights5 records

Broad incumbents

• Fujitsu: Fujitsu is a major Japanese system integrator with deep financial services offerings including risk management, regulatory compliance, and AI/ML services for banks. Like NTT Data, Fujitsu competes for large bank transformation deals and increasingly offers AI-based risk modeling capabilities.
• NTT Data: NTT Data is Japan's largest IT services firm and a major provider of banking, credit, and risk management solutions to Japanese financial institutions. Its scale, banking relationships, and ability to bundle risk analytics into broader SI deals represent the primary competitive threat to FEG's specialist positioning.
• ABeam Consulting: ABeam is a major Japanese-origin management and technology consulting firm with a strong financial services practice covering risk management, digital banking, and data analytics. It competes with FEG for mid-size and large bank transformation and analytics mandates.
• Deloitte Tohmatsu (Analytics practice): Deloitte's Japan Risk & Financial Advisory practice provides credit risk, regulatory, and advanced analytics services to Japanese banks and insurers. As a Big Four firm, it competes for large enterprise risk and analytics engagements that overlap with FEG's target market.
• NSSOL (Nippon Steel Solutions): NSSOL is the parent company of FEG and one of Japan's largest system integrators, offering IT services, data analytics, and AI solutions to manufacturing, financial, and distribution clients. While it owns FEG, NSSOL's broader data analytics and DX practice also competes for similar financial institution risk analytics mandates.
• Accenture Japan (Data & AI practice): Accenture's Japan Data & AI practice offers data science consulting, ML model development, and analytics platform deployment to Japanese financial institutions and large enterprises. It is a global incumbent competing for the same senior data science talent pool as FEG and increasingly for risk analytics mandates.

Direct peers

• ULS Group: ULS Group is a Japanese consulting firm specializing in risk management, actuarial services, and quantitative analytics for financial institutions. It is a direct comparable in serving Japanese banks with credit, market, and operational risk consulting, competing with FEG in credit risk model advisory.
• BrainPad: BrainPad is a leading Japanese data science and AI consulting firm serving enterprise clients with analytics, ML, and marketing optimization. Like FEG, it combines consulting with proprietary platform products, and competes for the same data science talent and enterprise client base in Japan.
• ALBERT (Asahi Group subsidiary): ALBERT is a Japanese data science and AI solutions company offering consulting, custom model development, and analytics products to enterprise clients. It directly competes with FEG in Japanese enterprise AI/ML consulting, particularly for retail, manufacturing, and financial services use cases.

Emerging players

• ExaWizards: ExaWizards is a Japanese AI company applying ML to industrial, healthcare, and financial services use cases. While broader than FEG, it increasingly targets financial institution clients with AI-based solutions, representing an emerging competitor in the Japanese enterprise AI space.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about FEG