資深數據分析師 Senior Data Analyst
Taipei
Risk Management /
Remote First /
Hybrid
About us
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, and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields.
A founding member of the Global Anti-Scam Alliance (GASA), 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 Royal Police, the Fukuoka city government, the Philippines Cybercrime Investigation and Coordinating Center, and the Royal Malaysia Police and state government to fight fraud and ultimately, to build a trustworthy communication network with the largest number database in East Asia and Southeast Asia. In July 2023, TrustTech provider Gogolook completed its IPO listing on the Taiwan Innovation Board (TIB) of the Taiwan Stock Exchange (TWSE), under the ticker number 6902.
Why you should join Gogolook
1. Influential products: What we make are meaningful products that create values for society and defend against frauds.
2. Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company.
3. Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together.
4. Transparent culture: We publicly share the company's information to all, every member can read and feedback, and become a part of participating in the proposal.
Job description
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
- Define customers’ business problems and deliver solid analysis, business impact and actionable insights with strong data facts.
- Collect and organize various data sources, including phone numbers, URLs, etc., in support of Fintech and Anti-fraud product development.
- Employ advanced data analytical techniques for data cleaning, transformation, and predictive models aimed at forecasting fraudulent trends.
- Collaborate closely with engineers, and product managers to transform data-driven insights into tangible product strategies and decisions.
- Create and present regular reports to accurately convey the outcomes and recommendations of business solutions to stakeholders.
- Proactively seek new data sources and tools to optimize the analytical process and provide deeper insights.
Requirements
- 3+ years of relevant work experience, particularly with data-driven problems.
- Demonstrated proficiency in problem-solving.
- Excellent communication skills with the ability to present complex analytical results clearly and persuasively.
- Capability to independently conduct data modeling and predictive analysis.
- Proficiency in SQL, Python, R, or other data analysis tools.
- Strong command of English for collaboration with an international team and for global fintech and anti-fraud business.
Soft skills
- Self-disciplined and highly self-motivated.
- Desire to learn new things and willing to share knowledge with team members.
- Obligation to dissent and share your opinions using strong facts and rigorous reasoning.
- Strong logical reasoning skills.
Plus
- Experience with machine learning algorithms.
- Experience in one or more of the following industries: anti-fraud, banking, rental, payment or consulting.
- Experience in the domain of personal loan, credit card or deposit account process.
- Experience with working with cloud services such as AWS and GCP.
