AlphaLoan打造下一代信用風險管理科技
經濟日報
凱基銀結盟AlphaLoan信貸網 開放數位信貸程式
蘋果日報
AlphaLoan實貸比較網運用AI 讓用戶找到最適合的信貸申請銀行
DigiTimes
[Meet創業之星] 擔心貸款被拒？AlphaLoan要做你和銀行之間的信任溝通
數位時代
利用AI與資料科學，打造未來的金融應用
AlphaLoan專注研發智能化之貸款比較/申請/KYC及信用風控，重新定義借貸活動
申請貸款的流程非常沒有效率
AlphaLoan的解決方案能將貸款整體流程從5天縮短至10分鐘，並提升銀行業績40%
1貸款比較
貸款資訊複雜，造成使用者不易找到適合的銀行申請，銀行也無法有效找到目標客群
2申請
申請程序人工，對使用者來說既耗時又麻煩。銀行後續分析評分也會遭遇很大的問題
3身分認證及KYC
身分認證程序繁複，文件辨識耗費人工。對使用者來說每次申請都有極大阻力
4信用評分
金融評分雖穩健，但卻逐漸無法適用於年輕客群。獲取更多資料源及分析應用有極高的技術門檻
Media Press
Partners
降低KGI Bank線上申請流程步驟33%
AlphaLoan開發之API與KGI Bank串聯，簡化使用者申請流程，為台灣第1家與銀行介接的公司。
與Facebook合作的創新互動前瞻實驗，提升指定客群轉換率62%
透過Chatbot技術，以智能互動的方式提供使用者個人化的體驗。利用此方式有效提升指定客群之轉換率達62%
社群行銷技術協助國泰世華銀行，提升社群轉換率20%
透過社群互動式解決方案，包含知識內容、互動小遊戲、及Chatbot等工具，創造出高分享及高互動的行銷成果，同時創造潛在客群的高轉換率
透過AI技術，優化KGI Bank廣告效率14%
建立數據化設計/追蹤/反饋架構，快速提升廣告行銷效率。結合AlphaLoan需求及財富預測大數據，協助企業操作關鍵字、社群、聯播網廣告，成效提升14%。
建立信用管理及輕理財專業內容，創造百萬曝光量
建立信用管理及輕理財專業內容，除了在「信用管理指南」、「信用教練」等自有媒體。並於各大財經媒體開闢專欄，創造百萬曝光量，成功推動民眾之信用教育。
A Heroic Section
Introduce your product or service!
We're Hiring
We're looking for people who love DATA as much as we do.
Engineering - Full Stack Engineer
- Improving our backend infrastructure and database schema to help users better utilize our applications
- Writing additional ETLs to gather, structure, and normalize data from new and existing sources for our database.
- Creating additional internal APIs to expose this data to front end applications.
Product Team - Senior Credit Risk Manager
Owning and leading the development of Credit Risk Strategy and Policy.
- Overseeing and monitoring of the development of Credit Scorecards (You can be hands on with this should you want to do so).
- Developing effective Credit Risk MI.
- Regular Stakeholder Management.
- Contributing to Group Strategy and Forecasting in respect of Credit Risk and Impairments.
Data Team - Data Scientist
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company’s data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Contact us
Join Team/Request DEMO/Business Cooperation/Investment
