Gogolook has been deeply involved in the Fintech and anti-fraud fields for many years and has a diverse team and a range of data-driven services. As the leading anti-fraud company in Taiwan, we are establishing a new anti-fraud team and product, and we are currently seeking a senior data analyst with an entrepreneurial spirit to lead and drive the product toward success. You will work directly and closely with the product team and play a crucial role in product development. You will participate in:
1. Directly responsible for ensuring the success of the new business.
2. Leading data analysis work to identify potential fraud patterns, business opportunities, and deliver solutions that impact revenue.
3. Diagnosing and analyzing business pain points of domestic and foreign customers as an external consultant and anti-fraud expert.
Main tasks after joining the team
1. Define customers’ business problems and deliver solid analysis, business impact and actionable insights with strong data facts.
2. Collect and organize various data sources, including phone numbers, URLs, etc., in support of Fintech and Anti-fraud product development.
3. Employ advanced data analytical techniques for data cleaning, transformation, and predictive models aimed at forecasting fraudulent trends.
4. Collaborate closely with engineers, and product managers to transform data-driven insights into tangible product strategies and decisions.
5. Create and present regular reports to accurately convey the outcomes and recommendations of business solutions to stakeholders.
6. Proactively seek new data sources and tools to optimize the analytical process and provide deeper insights.
1. Bachelor's degree in a related field such as Statistics, Mathematics, Information Management, or a related domain.
2. 5+ years of relevant work experience, particularly with data-driven problems.
3. Demonstrated proficiency in problem-solving.
4. Excellent communication skills with the ability to present complex analytical results clearly and persuasively.
5. Capability to independently conduct data modeling and predictive analysis.
6. Proficiency in SQL, Python, R, or other data analysis tools.
7. Strong command of English for collaboration with an international team and for global fintech and anti-fraud business.
1. Self-disciplined and highly self-motivated.
2. Desire to learn new things and willing to share knowledge with team members.
3. Obligation to dissent and share your opinions using strong facts and rigorous reasoning.
4. Strong logical reasoning skills.
1. Experience with machine learning algorithms.
2. Experience in one or more of the following industries: anti-fraud, banking, rental, payment or consulting.
3. Experience in the domain of personal loan, credit card or deposit account process.
4. Experience with working with cloud services such as AWS and GCP.
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【 關於Gogolook 】
信任科技服務商 Gogolook（走著瞧股份有限公司）成立於2012年，以「Build for Trust」為核心，建立由AI與數據驅動的全球化數位防詐與風險管理服務（Risk Management as a Service），從多元通訊、金融科技到企業 SaaS 服務，打造不同應用場景的信任賦能科技。Gogolook 為全球防詐聯盟 GASA 創始會員，並與台灣警政署刑事局、韓國金融監督院、泰國警政、日本福岡市政府、馬來西亞皇家警察與州政府共同防範詐騙問題，以東亞與東南亞最大的電話號碼資料庫為基礎，致力於創造一個「零詐騙環境」。
Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, SaaS and Web3, Gogolook creates trustworthy empowerment with the use of technology in various fields.
Gogolook has also teamed up with a number of institutes such as the Taiwan National Police Agency Criminal Investigation Bureau, the Financial Supervisory Service of South Korea, Thai Police Cyber Taskforce, the Fukuoka city government, and the Malaysia Selangor state government to fight fraud and ultimately, to build a trustworthy communication network with the largest database in East Asia and Southeast Asia.
【 創辦故事 】
2010.07Whoscall 首次上架Google Play 平台
2013.12LINE 母公司 NAVER以新台幣5.29億元投資 Gogolook
2014.12Whoscall iOS 版上架
2018.02Whoscall 全球用戶破 6,000 萬，獲得國泰私募基金超過3億投資
2021.11Whoscall 全球下載突破 1 億次
2022.10併購 AI 新創 Crowdinsight，強化風險管理服務
2023.07獲選臺灣國家發展委員會 NEXT BIG 新創計畫