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.